EgorGrinevich
commited on
Commit
•
c6d8a28
1
Parent(s):
856131a
Training in progress epoch 0
Browse files- README.md +357 -0
- config.json +374 -0
- preprocessor_config.json +23 -0
- tf_model.h5 +3 -0
README.md
ADDED
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1 |
+
---
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+
license: other
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+
base_model: nvidia/mit-b0
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+
tags:
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+
- generated_from_keras_callback
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+
model-index:
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+
- name: EgorGrinevich/scene_segmentation
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+
results: []
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+
---
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+
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+
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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+
probably proofread and complete it, then remove this comment. -->
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+
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+
# EgorGrinevich/scene_segmentation
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+
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+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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+
It achieves the following results on the evaluation set:
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+
- Train Loss: nan
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+
- Validation Loss: nan
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+
- Validation Mean Iou: 0.0024
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21 |
+
- Validation Mean Accuracy: 0.0222
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+
- Validation Overall Accuracy: 0.1310
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+
- Validation Accuracy Wall: 1.0
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- Validation Accuracy Building: 0.0
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+
- Validation Accuracy Sky: 0.0
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26 |
+
- Validation Accuracy Floor: 0.0
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+
- Validation Accuracy Tree: 0.0
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+
- Validation Accuracy Ceiling: 0.0
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+
- Validation Accuracy Road: 0.0
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+
- Validation Accuracy Bed : 0.0
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+
- Validation Accuracy Windowpane: nan
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+
- Validation Accuracy Grass: 0.0
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+
- Validation Accuracy Cabinet: 0.0
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+
- Validation Accuracy Sidewalk: 0.0
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+
- Validation Accuracy Person: 0.0
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+
- Validation Accuracy Earth: 0.0
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37 |
+
- Validation Accuracy Door: 0.0
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38 |
+
- Validation Accuracy Table: 0.0
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+
- Validation Accuracy Mountain: nan
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+
- Validation Accuracy Plant: 0.0
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+
- Validation Accuracy Curtain: nan
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42 |
+
- Validation Accuracy Chair: 0.0
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43 |
+
- Validation Accuracy Car: 0.0
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44 |
+
- Validation Accuracy Water: 0.0
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45 |
+
- Validation Accuracy Painting: nan
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46 |
+
- Validation Accuracy Sofa: nan
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47 |
+
- Validation Accuracy Shelf: nan
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48 |
+
- Validation Accuracy House: nan
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49 |
+
- Validation Accuracy Sea: 0.0
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50 |
+
- Validation Accuracy Mirror: nan
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51 |
+
- Validation Accuracy Rug: nan
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52 |
+
- Validation Accuracy Field: 0.0
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53 |
+
- Validation Accuracy Armchair: nan
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54 |
+
- Validation Accuracy Seat: 0.0
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55 |
+
- Validation Accuracy Fence: nan
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56 |
+
- Validation Accuracy Desk: 0.0
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57 |
+
- Validation Accuracy Rock: nan
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58 |
+
- Validation Accuracy Wardrobe: 0.0
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59 |
+
- Validation Accuracy Lamp: nan
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60 |
+
- Validation Accuracy Bathtub: nan
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61 |
+
- Validation Accuracy Railing: 0.0
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62 |
+
- Validation Accuracy Cushion: nan
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63 |
+
- Validation Accuracy Base: nan
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64 |
+
- Validation Accuracy Box: nan
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65 |
+
- Validation Accuracy Column: nan
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66 |
+
- Validation Accuracy Signboard: 0.0
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67 |
+
- Validation Accuracy Chest of drawers: nan
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68 |
+
- Validation Accuracy Counter: nan
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69 |
+
- Validation Accuracy Sand: 0.0
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70 |
+
- Validation Accuracy Sink: nan
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71 |
+
- Validation Accuracy Skyscraper: nan
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72 |
+
- Validation Accuracy Fireplace: 0.0
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73 |
+
- Validation Accuracy Refrigerator: nan
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74 |
+
- Validation Accuracy Grandstand: nan
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75 |
+
- Validation Accuracy Path: nan
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76 |
+
- Validation Accuracy Stairs: nan
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77 |
+
- Validation Accuracy Runway: nan
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78 |
+
- Validation Accuracy Case: nan
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79 |
+
- Validation Accuracy Pool table: 0.0
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80 |
+
- Validation Accuracy Pillow: nan
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81 |
+
- Validation Accuracy Screen door: nan
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82 |
+
- Validation Accuracy Stairway: nan
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83 |
+
- Validation Accuracy River: nan
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84 |
+
- Validation Accuracy Bridge: nan
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85 |
+
- Validation Accuracy Bookcase: nan
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86 |
+
- Validation Accuracy Blind: 0.0
|
87 |
+
- Validation Accuracy Coffee table: nan
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88 |
+
- Validation Accuracy Toilet: nan
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89 |
+
- Validation Accuracy Flower: nan
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90 |
+
- Validation Accuracy Book: 0.0
|
91 |
+
- Validation Accuracy Hill: nan
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92 |
+
- Validation Accuracy Bench: nan
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93 |
+
- Validation Accuracy Countertop: 0.0
|
94 |
+
- Validation Accuracy Stove: nan
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95 |
+
- Validation Accuracy Palm: nan
|
96 |
+
- Validation Accuracy Kitchen island: nan
|
97 |
+
- Validation Accuracy Computer: nan
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98 |
+
- Validation Accuracy Swivel chair: nan
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99 |
+
- Validation Accuracy Boat: nan
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100 |
+
- Validation Accuracy Bar: nan
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101 |
+
- Validation Accuracy Arcade machine: nan
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102 |
+
- Validation Accuracy Hovel: nan
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103 |
+
- Validation Accuracy Bus: 0.0
|
104 |
+
- Validation Accuracy Towel: 0.0
|
105 |
+
- Validation Accuracy Light: 0.0
|
106 |
+
- Validation Accuracy Truck: nan
|
107 |
+
- Validation Accuracy Tower: nan
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108 |
+
- Validation Accuracy Chandelier: nan
|
109 |
+
- Validation Accuracy Awning: nan
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110 |
+
- Validation Accuracy Streetlight: nan
|
111 |
+
- Validation Accuracy Booth: nan
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112 |
+
- Validation Accuracy Television receiver: nan
|
113 |
+
- Validation Accuracy Airplane: 0.0
|
114 |
+
- Validation Accuracy Dirt track: nan
|
115 |
+
- Validation Accuracy Apparel: 0.0
|
116 |
+
- Validation Accuracy Pole: nan
|
117 |
+
- Validation Accuracy Land: nan
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118 |
+
- Validation Accuracy Bannister: nan
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119 |
+
- Validation Accuracy Escalator: nan
|
120 |
+
- Validation Accuracy Ottoman: nan
|
121 |
+
- Validation Accuracy Bottle: nan
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122 |
+
- Validation Accuracy Buffet: nan
|
123 |
+
- Validation Accuracy Poster: nan
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124 |
+
- Validation Accuracy Stage: nan
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125 |
+
- Validation Accuracy Van: nan
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126 |
+
- Validation Accuracy Ship: nan
|
127 |
+
- Validation Accuracy Fountain: nan
|
128 |
+
- Validation Accuracy Conveyer belt: nan
|
129 |
+
- Validation Accuracy Canopy: nan
|
130 |
+
- Validation Accuracy Washer: nan
|
131 |
+
- Validation Accuracy Plaything: nan
|
132 |
+
- Validation Accuracy Swimming pool: 0.0
|
133 |
+
- Validation Accuracy Stool: nan
|
134 |
+
- Validation Accuracy Barrel: nan
|
135 |
+
- Validation Accuracy Basket: 0.0
|
136 |
+
- Validation Accuracy Waterfall: nan
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137 |
+
- Validation Accuracy Tent: 0.0
|
138 |
+
- Validation Accuracy Bag: nan
|
139 |
+
- Validation Accuracy Minibike: nan
|
140 |
+
- Validation Accuracy Cradle: nan
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141 |
+
- Validation Accuracy Oven: nan
|
142 |
+
- Validation Accuracy Ball: nan
|
143 |
+
- Validation Accuracy Food: nan
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144 |
+
- Validation Accuracy Step: nan
|
145 |
+
- Validation Accuracy Tank: nan
|
146 |
+
- Validation Accuracy Trade name: 0.0
|
147 |
+
- Validation Accuracy Microwave: nan
|
148 |
+
- Validation Accuracy Pot: nan
|
149 |
+
- Validation Accuracy Animal: nan
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150 |
+
- Validation Accuracy Bicycle: nan
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151 |
+
- Validation Accuracy Lake: 0.0
|
152 |
+
- Validation Accuracy Dishwasher: nan
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153 |
+
- Validation Accuracy Screen: nan
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154 |
+
- Validation Accuracy Blanket: nan
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155 |
+
- Validation Accuracy Sculpture: nan
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156 |
+
- Validation Accuracy Hood: 0.0
|
157 |
+
- Validation Accuracy Sconce: nan
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158 |
+
- Validation Accuracy Vase: 0.0
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159 |
+
- Validation Accuracy Traffic light: nan
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160 |
+
- Validation Accuracy Tray: 0.0
|
161 |
+
- Validation Accuracy Ashcan: nan
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162 |
+
- Validation Accuracy Fan: nan
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163 |
+
- Validation Accuracy Pier: nan
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164 |
+
- Validation Accuracy Crt screen: nan
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165 |
+
- Validation Accuracy Plate: nan
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166 |
+
- Validation Accuracy Monitor: nan
|
167 |
+
- Validation Accuracy Bulletin board: nan
|
168 |
+
- Validation Accuracy Shower: nan
|
169 |
+
- Validation Accuracy Radiator: nan
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170 |
+
- Validation Accuracy Glass: nan
|
171 |
+
- Validation Accuracy Clock: nan
|
172 |
+
- Validation Accuracy Flag: nan
|
173 |
+
- Validation Iou Wall: 0.1065
|
174 |
+
- Validation Iou Building: 0.0
|
175 |
+
- Validation Iou Sky: 0.0
|
176 |
+
- Validation Iou Floor: 0.0
|
177 |
+
- Validation Iou Tree: 0.0
|
178 |
+
- Validation Iou Ceiling: 0.0
|
179 |
+
- Validation Iou Road: 0.0
|
180 |
+
- Validation Iou Bed : 0.0
|
181 |
+
- Validation Iou Windowpane: nan
|
182 |
+
- Validation Iou Grass: 0.0
|
183 |
+
- Validation Iou Cabinet: 0.0
|
184 |
+
- Validation Iou Sidewalk: 0.0
|
185 |
+
- Validation Iou Person: 0.0
|
186 |
+
- Validation Iou Earth: 0.0
|
187 |
+
- Validation Iou Door: 0.0
|
188 |
+
- Validation Iou Table: 0.0
|
189 |
+
- Validation Iou Mountain: nan
|
190 |
+
- Validation Iou Plant: 0.0
|
191 |
+
- Validation Iou Curtain: nan
|
192 |
+
- Validation Iou Chair: 0.0
|
193 |
+
- Validation Iou Car: 0.0
|
194 |
+
- Validation Iou Water: 0.0
|
195 |
+
- Validation Iou Painting: nan
|
196 |
+
- Validation Iou Sofa: nan
|
197 |
+
- Validation Iou Shelf: nan
|
198 |
+
- Validation Iou House: nan
|
199 |
+
- Validation Iou Sea: 0.0
|
200 |
+
- Validation Iou Mirror: nan
|
201 |
+
- Validation Iou Rug: nan
|
202 |
+
- Validation Iou Field: 0.0
|
203 |
+
- Validation Iou Armchair: nan
|
204 |
+
- Validation Iou Seat: 0.0
|
205 |
+
- Validation Iou Fence: nan
|
206 |
+
- Validation Iou Desk: 0.0
|
207 |
+
- Validation Iou Rock: nan
|
208 |
+
- Validation Iou Wardrobe: 0.0
|
209 |
+
- Validation Iou Lamp: nan
|
210 |
+
- Validation Iou Bathtub: nan
|
211 |
+
- Validation Iou Railing: 0.0
|
212 |
+
- Validation Iou Cushion: nan
|
213 |
+
- Validation Iou Base: nan
|
214 |
+
- Validation Iou Box: nan
|
215 |
+
- Validation Iou Column: nan
|
216 |
+
- Validation Iou Signboard: 0.0
|
217 |
+
- Validation Iou Chest of drawers: nan
|
218 |
+
- Validation Iou Counter: nan
|
219 |
+
- Validation Iou Sand: 0.0
|
220 |
+
- Validation Iou Sink: nan
|
221 |
+
- Validation Iou Skyscraper: nan
|
222 |
+
- Validation Iou Fireplace: 0.0
|
223 |
+
- Validation Iou Refrigerator: nan
|
224 |
+
- Validation Iou Grandstand: nan
|
225 |
+
- Validation Iou Path: nan
|
226 |
+
- Validation Iou Stairs: nan
|
227 |
+
- Validation Iou Runway: nan
|
228 |
+
- Validation Iou Case: nan
|
229 |
+
- Validation Iou Pool table: 0.0
|
230 |
+
- Validation Iou Pillow: nan
|
231 |
+
- Validation Iou Screen door: nan
|
232 |
+
- Validation Iou Stairway: nan
|
233 |
+
- Validation Iou River: nan
|
234 |
+
- Validation Iou Bridge: nan
|
235 |
+
- Validation Iou Bookcase: nan
|
236 |
+
- Validation Iou Blind: 0.0
|
237 |
+
- Validation Iou Coffee table: nan
|
238 |
+
- Validation Iou Toilet: nan
|
239 |
+
- Validation Iou Flower: nan
|
240 |
+
- Validation Iou Book: 0.0
|
241 |
+
- Validation Iou Hill: nan
|
242 |
+
- Validation Iou Bench: nan
|
243 |
+
- Validation Iou Countertop: 0.0
|
244 |
+
- Validation Iou Stove: nan
|
245 |
+
- Validation Iou Palm: nan
|
246 |
+
- Validation Iou Kitchen island: nan
|
247 |
+
- Validation Iou Computer: nan
|
248 |
+
- Validation Iou Swivel chair: nan
|
249 |
+
- Validation Iou Boat: nan
|
250 |
+
- Validation Iou Bar: nan
|
251 |
+
- Validation Iou Arcade machine: nan
|
252 |
+
- Validation Iou Hovel: nan
|
253 |
+
- Validation Iou Bus: 0.0
|
254 |
+
- Validation Iou Towel: 0.0
|
255 |
+
- Validation Iou Light: 0.0
|
256 |
+
- Validation Iou Truck: nan
|
257 |
+
- Validation Iou Tower: nan
|
258 |
+
- Validation Iou Chandelier: nan
|
259 |
+
- Validation Iou Awning: nan
|
260 |
+
- Validation Iou Streetlight: nan
|
261 |
+
- Validation Iou Booth: nan
|
262 |
+
- Validation Iou Television receiver: nan
|
263 |
+
- Validation Iou Airplane: 0.0
|
264 |
+
- Validation Iou Dirt track: nan
|
265 |
+
- Validation Iou Apparel: 0.0
|
266 |
+
- Validation Iou Pole: nan
|
267 |
+
- Validation Iou Land: nan
|
268 |
+
- Validation Iou Bannister: nan
|
269 |
+
- Validation Iou Escalator: nan
|
270 |
+
- Validation Iou Ottoman: nan
|
271 |
+
- Validation Iou Bottle: nan
|
272 |
+
- Validation Iou Buffet: nan
|
273 |
+
- Validation Iou Poster: nan
|
274 |
+
- Validation Iou Stage: nan
|
275 |
+
- Validation Iou Van: nan
|
276 |
+
- Validation Iou Ship: nan
|
277 |
+
- Validation Iou Fountain: nan
|
278 |
+
- Validation Iou Conveyer belt: nan
|
279 |
+
- Validation Iou Canopy: nan
|
280 |
+
- Validation Iou Washer: nan
|
281 |
+
- Validation Iou Plaything: nan
|
282 |
+
- Validation Iou Swimming pool: 0.0
|
283 |
+
- Validation Iou Stool: nan
|
284 |
+
- Validation Iou Barrel: nan
|
285 |
+
- Validation Iou Basket: 0.0
|
286 |
+
- Validation Iou Waterfall: nan
|
287 |
+
- Validation Iou Tent: 0.0
|
288 |
+
- Validation Iou Bag: nan
|
289 |
+
- Validation Iou Minibike: nan
|
290 |
+
- Validation Iou Cradle: nan
|
291 |
+
- Validation Iou Oven: nan
|
292 |
+
- Validation Iou Ball: nan
|
293 |
+
- Validation Iou Food: nan
|
294 |
+
- Validation Iou Step: nan
|
295 |
+
- Validation Iou Tank: nan
|
296 |
+
- Validation Iou Trade name: 0.0
|
297 |
+
- Validation Iou Microwave: nan
|
298 |
+
- Validation Iou Pot: nan
|
299 |
+
- Validation Iou Animal: nan
|
300 |
+
- Validation Iou Bicycle: nan
|
301 |
+
- Validation Iou Lake: 0.0
|
302 |
+
- Validation Iou Dishwasher: nan
|
303 |
+
- Validation Iou Screen: nan
|
304 |
+
- Validation Iou Blanket: nan
|
305 |
+
- Validation Iou Sculpture: nan
|
306 |
+
- Validation Iou Hood: 0.0
|
307 |
+
- Validation Iou Sconce: nan
|
308 |
+
- Validation Iou Vase: 0.0
|
309 |
+
- Validation Iou Traffic light: nan
|
310 |
+
- Validation Iou Tray: 0.0
|
311 |
+
- Validation Iou Ashcan: nan
|
312 |
+
- Validation Iou Fan: nan
|
313 |
+
- Validation Iou Pier: nan
|
314 |
+
- Validation Iou Crt screen: nan
|
315 |
+
- Validation Iou Plate: nan
|
316 |
+
- Validation Iou Monitor: nan
|
317 |
+
- Validation Iou Bulletin board: nan
|
318 |
+
- Validation Iou Shower: nan
|
319 |
+
- Validation Iou Radiator: nan
|
320 |
+
- Validation Iou Glass: nan
|
321 |
+
- Validation Iou Clock: nan
|
322 |
+
- Validation Iou Flag: nan
|
323 |
+
- Epoch: 0
|
324 |
+
|
325 |
+
## Model description
|
326 |
+
|
327 |
+
More information needed
|
328 |
+
|
329 |
+
## Intended uses & limitations
|
330 |
+
|
331 |
+
More information needed
|
332 |
+
|
333 |
+
## Training and evaluation data
|
334 |
+
|
335 |
+
More information needed
|
336 |
+
|
337 |
+
## Training procedure
|
338 |
+
|
339 |
+
### Training hyperparameters
|
340 |
+
|
341 |
+
The following hyperparameters were used during training:
|
342 |
+
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 2000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
|
343 |
+
- training_precision: float32
|
344 |
+
|
345 |
+
### Training results
|
346 |
+
|
347 |
+
| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Wall | Validation Accuracy Building | Validation Accuracy Sky | Validation Accuracy Floor | Validation Accuracy Tree | Validation Accuracy Ceiling | Validation Accuracy Road | Validation Accuracy Bed | Validation Accuracy Windowpane | Validation Accuracy Grass | Validation Accuracy Cabinet | Validation Accuracy Sidewalk | Validation Accuracy Person | Validation Accuracy Earth | Validation Accuracy Door | Validation Accuracy Table | Validation Accuracy Mountain | Validation Accuracy Plant | Validation Accuracy Curtain | Validation Accuracy Chair | Validation Accuracy Car | Validation Accuracy Water | Validation Accuracy Painting | Validation Accuracy Sofa | Validation Accuracy Shelf | Validation Accuracy House | Validation Accuracy Sea | Validation Accuracy Mirror | Validation Accuracy Rug | Validation Accuracy Field | Validation Accuracy Armchair | Validation Accuracy Seat | Validation Accuracy Fence | Validation Accuracy Desk | Validation Accuracy Rock | Validation Accuracy Wardrobe | Validation Accuracy Lamp | Validation Accuracy Bathtub | Validation Accuracy Railing | Validation Accuracy Cushion | Validation Accuracy Base | Validation Accuracy Box | Validation Accuracy Column | Validation Accuracy Signboard | Validation Accuracy Chest of drawers | Validation Accuracy Counter | Validation Accuracy Sand | Validation Accuracy Sink | Validation Accuracy Skyscraper | Validation Accuracy Fireplace | Validation Accuracy Refrigerator | Validation Accuracy Grandstand | Validation Accuracy Path | Validation Accuracy Stairs | Validation Accuracy Runway | Validation Accuracy Case | Validation Accuracy Pool table | Validation Accuracy Pillow | Validation Accuracy Screen door | Validation Accuracy Stairway | Validation Accuracy River | Validation Accuracy Bridge | Validation Accuracy Bookcase | Validation Accuracy Blind | Validation Accuracy Coffee table | Validation Accuracy Toilet | Validation Accuracy Flower | Validation Accuracy Book | Validation Accuracy Hill | Validation Accuracy Bench | Validation Accuracy Countertop | Validation Accuracy Stove | Validation Accuracy Palm | Validation Accuracy Kitchen island | Validation Accuracy Computer | Validation Accuracy Swivel chair | Validation Accuracy Boat | Validation Accuracy Bar | Validation Accuracy Arcade machine | Validation Accuracy Hovel | Validation Accuracy Bus | Validation Accuracy Towel | Validation Accuracy Light | Validation Accuracy Truck | Validation Accuracy Tower | Validation Accuracy Chandelier | Validation Accuracy Awning | Validation Accuracy Streetlight | Validation Accuracy Booth | Validation Accuracy Television receiver | Validation Accuracy Airplane | Validation Accuracy Dirt track | Validation Accuracy Apparel | Validation Accuracy Pole | Validation Accuracy Land | Validation Accuracy Bannister | Validation Accuracy Escalator | Validation Accuracy Ottoman | Validation Accuracy Bottle | Validation Accuracy Buffet | Validation Accuracy Poster | Validation Accuracy Stage | Validation Accuracy Van | Validation Accuracy Ship | Validation Accuracy Fountain | Validation Accuracy Conveyer belt | Validation Accuracy Canopy | Validation Accuracy Washer | Validation Accuracy Plaything | Validation Accuracy Swimming pool | Validation Accuracy Stool | Validation Accuracy Barrel | Validation Accuracy Basket | Validation Accuracy Waterfall | Validation Accuracy Tent | Validation Accuracy Bag | Validation Accuracy Minibike | Validation Accuracy Cradle | Validation Accuracy Oven | Validation Accuracy Ball | Validation Accuracy Food | Validation Accuracy Step | Validation Accuracy Tank | Validation Accuracy Trade name | Validation Accuracy Microwave | Validation Accuracy Pot | Validation Accuracy Animal | Validation Accuracy Bicycle | Validation Accuracy Lake | Validation Accuracy Dishwasher | Validation Accuracy Screen | Validation Accuracy Blanket | Validation Accuracy Sculpture | Validation Accuracy Hood | Validation Accuracy Sconce | Validation Accuracy Vase | Validation Accuracy Traffic light | Validation Accuracy Tray | Validation Accuracy Ashcan | Validation Accuracy Fan | Validation Accuracy Pier | Validation Accuracy Crt screen | Validation Accuracy Plate | Validation Accuracy Monitor | Validation Accuracy Bulletin board | Validation Accuracy Shower | Validation Accuracy Radiator | Validation Accuracy Glass | Validation Accuracy Clock | Validation Accuracy Flag | Validation Iou Wall | Validation Iou Building | Validation Iou Sky | Validation Iou Floor | Validation Iou Tree | Validation Iou Ceiling | Validation Iou Road | Validation Iou Bed | Validation Iou Windowpane | Validation Iou Grass | Validation Iou Cabinet | Validation Iou Sidewalk | Validation Iou Person | Validation Iou Earth | Validation Iou Door | Validation Iou Table | Validation Iou Mountain | Validation Iou Plant | Validation Iou Curtain | Validation Iou Chair | Validation Iou Car | Validation Iou Water | Validation Iou Painting | Validation Iou Sofa | Validation Iou Shelf | Validation Iou House | Validation Iou Sea | Validation Iou Mirror | Validation Iou Rug | Validation Iou Field | Validation Iou Armchair | Validation Iou Seat | Validation Iou Fence | Validation Iou Desk | Validation Iou Rock | Validation Iou Wardrobe | Validation Iou Lamp | Validation Iou Bathtub | Validation Iou Railing | Validation Iou Cushion | Validation Iou Base | Validation Iou Box | Validation Iou Column | Validation Iou Signboard | Validation Iou Chest of drawers | Validation Iou Counter | Validation Iou Sand | Validation Iou Sink | Validation Iou Skyscraper | Validation Iou Fireplace | Validation Iou Refrigerator | Validation Iou Grandstand | Validation Iou Path | Validation Iou Stairs | Validation Iou Runway | Validation Iou Case | Validation Iou Pool table | Validation Iou Pillow | Validation Iou Screen door | Validation Iou Stairway | Validation Iou River | Validation Iou Bridge | Validation Iou Bookcase | Validation Iou Blind | Validation Iou Coffee table | Validation Iou Toilet | Validation Iou Flower | Validation Iou Book | Validation Iou Hill | Validation Iou Bench | Validation Iou Countertop | Validation Iou Stove | Validation Iou Palm | Validation Iou Kitchen island | Validation Iou Computer | Validation Iou Swivel chair | Validation Iou Boat | Validation Iou Bar | Validation Iou Arcade machine | Validation Iou Hovel | Validation Iou Bus | Validation Iou Towel | Validation Iou Light | Validation Iou Truck | Validation Iou Tower | Validation Iou Chandelier | Validation Iou Awning | Validation Iou Streetlight | Validation Iou Booth | Validation Iou Television receiver | Validation Iou Airplane | Validation Iou Dirt track | Validation Iou Apparel | Validation Iou Pole | Validation Iou Land | Validation Iou Bannister | Validation Iou Escalator | Validation Iou Ottoman | Validation Iou Bottle | Validation Iou Buffet | Validation Iou Poster | Validation Iou Stage | Validation Iou Van | Validation Iou Ship | Validation Iou Fountain | Validation Iou Conveyer belt | Validation Iou Canopy | Validation Iou Washer | Validation Iou Plaything | Validation Iou Swimming pool | Validation Iou Stool | Validation Iou Barrel | Validation Iou Basket | Validation Iou Waterfall | Validation Iou Tent | Validation Iou Bag | Validation Iou Minibike | Validation Iou Cradle | Validation Iou Oven | Validation Iou Ball | Validation Iou Food | Validation Iou Step | Validation Iou Tank | Validation Iou Trade name | Validation Iou Microwave | Validation Iou Pot | Validation Iou Animal | Validation Iou Bicycle | Validation Iou Lake | Validation Iou Dishwasher | Validation Iou Screen | Validation Iou Blanket | Validation Iou Sculpture | Validation Iou Hood | Validation Iou Sconce | Validation Iou Vase | Validation Iou Traffic light | Validation Iou Tray | Validation Iou Ashcan | Validation Iou Fan | Validation Iou Pier | Validation Iou Crt screen | Validation Iou Plate | Validation Iou Monitor | Validation Iou Bulletin board | Validation Iou Shower | Validation Iou Radiator | Validation Iou Glass | Validation Iou Clock | Validation Iou Flag | Epoch |
|
348 |
+
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:------------------------:|:----------------------------:|:-----------------------:|:-------------------------:|:------------------------:|:---------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-------------------------:|:------------------------:|:-------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:-------------------------:|:-----------------------:|:-------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:--------------------------:|:-----------------------:|:-------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:------------------------:|:------------------------:|:----------------------------:|:------------------------:|:---------------------------:|:---------------------------:|:---------------------------:|:------------------------:|:-----------------------:|:--------------------------:|:-----------------------------:|:------------------------------------:|:---------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:--------------------------------:|:------------------------------:|:------------------------:|:--------------------------:|:--------------------------:|:------------------------:|:------------------------------:|:--------------------------:|:-------------------------------:|:----------------------------:|:-------------------------:|:--------------------------:|:----------------------------:|:-------------------------:|:--------------------------------:|:--------------------------:|:--------------------------:|:------------------------:|:------------------------:|:-------------------------:|:------------------------------:|:-------------------------:|:------------------------:|:----------------------------------:|:----------------------------:|:--------------------------------:|:------------------------:|:-----------------------:|:----------------------------------:|:-------------------------:|:-----------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:------------------------------:|:--------------------------:|:-------------------------------:|:-------------------------:|:---------------------------------------:|:----------------------------:|:------------------------------:|:---------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:-----------------------------:|:---------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:-------------------------:|:-----------------------:|:------------------------:|:----------------------------:|:---------------------------------:|:--------------------------:|:--------------------------:|:-----------------------------:|:---------------------------------:|:-------------------------:|:--------------------------:|:--------------------------:|:-----------------------------:|:------------------------:|:-----------------------:|:----------------------------:|:--------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:-----------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------------:|:--------------------------:|:---------------------------:|:-----------------------------:|:------------------------:|:--------------------------:|:------------------------:|:---------------------------------:|:------------------------:|:--------------------------:|:-----------------------:|:------------------------:|:------------------------------:|:-------------------------:|:---------------------------:|:----------------------------------:|:--------------------------:|:----------------------------:|:-------------------------:|:-------------------------:|:------------------------:|:-------------------:|:-----------------------:|:------------------:|:--------------------:|:-------------------:|:----------------------:|:-------------------:|:-------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------------:|:---------------------:|:--------------------:|:-------------------:|:--------------------:|:-----------------------:|:--------------------:|:----------------------:|:--------------------:|:------------------:|:--------------------:|:-----------------------:|:-------------------:|:--------------------:|:--------------------:|:------------------:|:---------------------:|:------------------:|:--------------------:|:-----------------------:|:-------------------:|:--------------------:|:-------------------:|:-------------------:|:-----------------------:|:-------------------:|:----------------------:|:----------------------:|:----------------------:|:-------------------:|:------------------:|:---------------------:|:------------------------:|:-------------------------------:|:----------------------:|:-------------------:|:-------------------:|:-------------------------:|:------------------------:|:---------------------------:|:-------------------------:|:-------------------:|:---------------------:|:---------------------:|:-------------------:|:-------------------------:|:---------------------:|:--------------------------:|:-----------------------:|:--------------------:|:---------------------:|:-----------------------:|:--------------------:|:---------------------------:|:---------------------:|:---------------------:|:-------------------:|:-------------------:|:--------------------:|:-------------------------:|:--------------------:|:-------------------:|:-----------------------------:|:-----------------------:|:---------------------------:|:-------------------:|:------------------:|:-----------------------------:|:--------------------:|:------------------:|:--------------------:|:--------------------:|:--------------------:|:--------------------:|:-------------------------:|:---------------------:|:--------------------------:|:--------------------:|:----------------------------------:|:-----------------------:|:-------------------------:|:----------------------:|:-------------------:|:-------------------:|:------------------------:|:------------------------:|:----------------------:|:---------------------:|:---------------------:|:---------------------:|:--------------------:|:------------------:|:-------------------:|:-----------------------:|:----------------------------:|:---------------------:|:---------------------:|:------------------------:|:----------------------------:|:--------------------:|:---------------------:|:---------------------:|:------------------------:|:-------------------:|:------------------:|:-----------------------:|:---------------------:|:-------------------:|:-------------------:|:-------------------:|:-------------------:|:-------------------:|:-------------------------:|:------------------------:|:------------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------------:|:---------------------:|:----------------------:|:------------------------:|:-------------------:|:---------------------:|:-------------------:|:----------------------------:|:-------------------:|:---------------------:|:------------------:|:-------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------------------:|:---------------------:|:-----------------------:|:--------------------:|:--------------------:|:-------------------:|:-----:|
|
349 |
+
| nan | nan | 0.0024 | 0.0222 | 0.1310 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.1065 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0 |
|
350 |
+
|
351 |
+
|
352 |
+
### Framework versions
|
353 |
+
|
354 |
+
- Transformers 4.35.2
|
355 |
+
- TensorFlow 2.14.0
|
356 |
+
- Datasets 2.15.0
|
357 |
+
- Tokenizers 0.15.0
|
config.json
ADDED
@@ -0,0 +1,374 @@
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|
1 |
+
{
|
2 |
+
"_name_or_path": "nvidia/mit-b0",
|
3 |
+
"architectures": [
|
4 |
+
"SegformerForSemanticSegmentation"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"classifier_dropout_prob": 0.1,
|
8 |
+
"decoder_hidden_size": 256,
|
9 |
+
"depths": [
|
10 |
+
2,
|
11 |
+
2,
|
12 |
+
2,
|
13 |
+
2
|
14 |
+
],
|
15 |
+
"downsampling_rates": [
|
16 |
+
1,
|
17 |
+
4,
|
18 |
+
8,
|
19 |
+
16
|
20 |
+
],
|
21 |
+
"drop_path_rate": 0.1,
|
22 |
+
"hidden_act": "gelu",
|
23 |
+
"hidden_dropout_prob": 0.0,
|
24 |
+
"hidden_sizes": [
|
25 |
+
32,
|
26 |
+
64,
|
27 |
+
160,
|
28 |
+
256
|
29 |
+
],
|
30 |
+
"id2label": {
|
31 |
+
"0": "wall",
|
32 |
+
"1": "building",
|
33 |
+
"2": "sky",
|
34 |
+
"3": "floor",
|
35 |
+
"4": "tree",
|
36 |
+
"5": "ceiling",
|
37 |
+
"6": "road",
|
38 |
+
"7": "bed ",
|
39 |
+
"8": "windowpane",
|
40 |
+
"9": "grass",
|
41 |
+
"10": "cabinet",
|
42 |
+
"11": "sidewalk",
|
43 |
+
"12": "person",
|
44 |
+
"13": "earth",
|
45 |
+
"14": "door",
|
46 |
+
"15": "table",
|
47 |
+
"16": "mountain",
|
48 |
+
"17": "plant",
|
49 |
+
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|
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|
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|
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|
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|
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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|
62 |
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|
63 |
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|
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|
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|
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|
67 |
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|
68 |
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|
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|
70 |
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|
71 |
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|
72 |
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|
73 |
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|
74 |
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"43": "signboard",
|
75 |
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"44": "chest of drawers",
|
76 |
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"45": "counter",
|
77 |
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|
78 |
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"47": "sink",
|
79 |
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|
80 |
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|
81 |
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"50": "refrigerator",
|
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|
83 |
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|
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|
85 |
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|
86 |
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|
87 |
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"56": "pool table",
|
88 |
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|
89 |
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"58": "screen door",
|
90 |
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|
91 |
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|
92 |
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|
93 |
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|
94 |
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|
95 |
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|
96 |
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|
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|
98 |
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|
99 |
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|
100 |
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|
101 |
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|
102 |
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"71": "stove",
|
103 |
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"72": "palm",
|
104 |
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"73": "kitchen island",
|
105 |
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|
106 |
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|
107 |
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|
108 |
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|
109 |
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|
110 |
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|
111 |
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|
112 |
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|
113 |
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|
114 |
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|
115 |
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|
116 |
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"85": "chandelier",
|
117 |
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"86": "awning",
|
118 |
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"87": "streetlight",
|
119 |
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"88": "booth",
|
120 |
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"89": "television receiver",
|
121 |
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"90": "airplane",
|
122 |
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"91": "dirt track",
|
123 |
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|
124 |
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"93": "pole",
|
125 |
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"94": "land",
|
126 |
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"95": "bannister",
|
127 |
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"96": "escalator",
|
128 |
+
"97": "ottoman",
|
129 |
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"98": "bottle",
|
130 |
+
"99": "buffet",
|
131 |
+
"100": "poster",
|
132 |
+
"101": "stage",
|
133 |
+
"102": "van",
|
134 |
+
"103": "ship",
|
135 |
+
"104": "fountain",
|
136 |
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"105": "conveyer belt",
|
137 |
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"106": "canopy",
|
138 |
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|
139 |
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"108": "plaything",
|
140 |
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|
141 |
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|
142 |
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|
143 |
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|
144 |
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|
145 |
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|
146 |
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|
147 |
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|
148 |
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|
149 |
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|
150 |
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|
151 |
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|
152 |
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"121": "step",
|
153 |
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"122": "tank",
|
154 |
+
"123": "trade name",
|
155 |
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"124": "microwave",
|
156 |
+
"125": "pot",
|
157 |
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"126": "animal",
|
158 |
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"127": "bicycle",
|
159 |
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"128": "lake",
|
160 |
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"129": "dishwasher",
|
161 |
+
"130": "screen",
|
162 |
+
"131": "blanket",
|
163 |
+
"132": "sculpture",
|
164 |
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"133": "hood",
|
165 |
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"134": "sconce",
|
166 |
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"135": "vase",
|
167 |
+
"136": "traffic light",
|
168 |
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"137": "tray",
|
169 |
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"138": "ashcan",
|
170 |
+
"139": "fan",
|
171 |
+
"140": "pier",
|
172 |
+
"141": "crt screen",
|
173 |
+
"142": "plate",
|
174 |
+
"143": "monitor",
|
175 |
+
"144": "bulletin board",
|
176 |
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"145": "shower",
|
177 |
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"146": "radiator",
|
178 |
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"147": "glass",
|
179 |
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"148": "clock",
|
180 |
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"149": "flag"
|
181 |
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},
|
182 |
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|
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|
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|
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|
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|
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|
189 |
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|
190 |
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|
191 |
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|
192 |
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|
193 |
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|
194 |
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|
195 |
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|
196 |
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|
197 |
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|
198 |
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|
199 |
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|
200 |
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|
201 |
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|
202 |
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|
203 |
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|
204 |
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|
205 |
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|
206 |
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|
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|
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|
209 |
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|
210 |
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|
211 |
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|
212 |
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|
213 |
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|
214 |
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|
215 |
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|
216 |
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|
217 |
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|
218 |
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|
219 |
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|
220 |
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|
221 |
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|
222 |
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|
223 |
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|
224 |
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|
225 |
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|
226 |
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|
227 |
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|
228 |
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|
229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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|
235 |
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|
236 |
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|
237 |
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|
238 |
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|
239 |
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|
240 |
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|
241 |
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|
242 |
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|
243 |
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|
244 |
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|
245 |
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|
246 |
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|
247 |
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|
248 |
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|
249 |
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|
250 |
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|
251 |
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|
252 |
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|
253 |
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|
254 |
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|
255 |
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"house": 25,
|
256 |
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|
257 |
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|
258 |
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"lake": 128,
|
259 |
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"lamp": 36,
|
260 |
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"land": 94,
|
261 |
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"light": 82,
|
262 |
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"microwave": 124,
|
263 |
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"minibike": 116,
|
264 |
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"mirror": 27,
|
265 |
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|
266 |
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|
267 |
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|
268 |
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|
269 |
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|
270 |
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|
271 |
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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|
276 |
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|
277 |
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|
278 |
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|
279 |
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|
280 |
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|
281 |
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|
282 |
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|
283 |
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"railing": 38,
|
284 |
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|
285 |
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|
286 |
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"road": 6,
|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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|
292 |
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|
293 |
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|
294 |
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|
295 |
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|
296 |
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|
297 |
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|
298 |
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|
299 |
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|
300 |
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|
301 |
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|
302 |
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|
303 |
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"sky": 2,
|
304 |
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"skyscraper": 48,
|
305 |
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"sofa": 23,
|
306 |
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"stage": 101,
|
307 |
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"stairs": 53,
|
308 |
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"stairway": 59,
|
309 |
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"step": 121,
|
310 |
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"stool": 110,
|
311 |
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"stove": 71,
|
312 |
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"streetlight": 87,
|
313 |
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"swimming pool": 109,
|
314 |
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"swivel chair": 75,
|
315 |
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"table": 15,
|
316 |
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"tank": 122,
|
317 |
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"television receiver": 89,
|
318 |
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"tent": 114,
|
319 |
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"toilet": 65,
|
320 |
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"towel": 81,
|
321 |
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"tower": 84,
|
322 |
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"trade name": 123,
|
323 |
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"traffic light": 136,
|
324 |
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|
325 |
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"tree": 4,
|
326 |
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"truck": 83,
|
327 |
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"van": 102,
|
328 |
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|
329 |
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|
330 |
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|
331 |
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"washer": 107,
|
332 |
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"water": 21,
|
333 |
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"waterfall": 113,
|
334 |
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"windowpane": 8
|
335 |
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},
|
336 |
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"layer_norm_eps": 1e-06,
|
337 |
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"mlp_ratios": [
|
338 |
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|
339 |
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|
340 |
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4,
|
341 |
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|
342 |
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],
|
343 |
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"model_type": "segformer",
|
344 |
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"num_attention_heads": [
|
345 |
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1,
|
346 |
+
2,
|
347 |
+
5,
|
348 |
+
8
|
349 |
+
],
|
350 |
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"num_channels": 3,
|
351 |
+
"num_encoder_blocks": 4,
|
352 |
+
"patch_sizes": [
|
353 |
+
7,
|
354 |
+
3,
|
355 |
+
3,
|
356 |
+
3
|
357 |
+
],
|
358 |
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"reshape_last_stage": true,
|
359 |
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"semantic_loss_ignore_index": 255,
|
360 |
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"sr_ratios": [
|
361 |
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8,
|
362 |
+
4,
|
363 |
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2,
|
364 |
+
1
|
365 |
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],
|
366 |
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"strides": [
|
367 |
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|
368 |
+
2,
|
369 |
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2,
|
370 |
+
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|
371 |
+
],
|
372 |
+
"torch_dtype": "float32",
|
373 |
+
"transformers_version": "4.35.2"
|
374 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_reduce_labels": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.485,
|
8 |
+
0.456,
|
9 |
+
0.406
|
10 |
+
],
|
11 |
+
"image_processor_type": "SegformerImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.229,
|
14 |
+
0.224,
|
15 |
+
0.225
|
16 |
+
],
|
17 |
+
"resample": 2,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"height": 512,
|
21 |
+
"width": 512
|
22 |
+
}
|
23 |
+
}
|
tf_model.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dddab121be85203bf41ee0d7160f9e8d3c813c37cc2ab51b9ac66786342387f1
|
3 |
+
size 15285696
|