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Browse files- test_image/FLIR.yaml +29 -0
- test_image/coco128.yaml +101 -0
- test_image/video-2SReBn5LtAkL5HMj2-frame-000317-HTgPBFgZyPdwQnNvE.jpg +0 -0
- test_image/video-2SReBn5LtAkL5HMj2-frame-005072-MA7NCLQGoqq9aHaiL.jpg +0 -0
- test_image/video-2rsjnZFyGQGeynfbv-frame-003708-6fPQbB7jtibwaYAE7.jpg +0 -0
- test_image/video-7cJxWPFMvPdSiWASY-frame-008959-fMpHFEn5YmJTGFYTB.jpg +0 -0
- test_image/video-QQZ8wcAm8Y9EPufST-frame-000850-tfMPAXEz9sBFedkve.jpg +0 -0
- test_image/video-jNQtRj6NGycZDEXpe-frame-002515-J3YntG8ntvZheKK3P.jpg +0 -0
- test_image/video-kDDWXrnLSoSdHCZ7S-frame-003063-eaKjPvPskDPjenZ8S.jpg +0 -0
- test_image/video-r68Yr9RPWEp5fW2ZF-frame-000333-X6K5iopqbmjKEsSqN.jpg +0 -0
test_image/FLIR.yaml
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train: VOCdevkit\images\train # 8493 images ่ฎญ็ป้
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val: VOCdevkit\images\val # 2249 images ้ช่ฏ้
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# number of classes ็ฑปๅซๆฐ
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nc: 9
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# Classes
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names:
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0: person
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1: bike
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2: car
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3: motor
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4: bus
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5: truck #6-5
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6: light #7-6
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7: hydrant #8-7
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8: sign # 9-8
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# 5: train
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# 10: dog
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# 11: skateboard
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# 12: stroller
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# 13: scooter
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# 14: other vehicle
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test_image/coco128.yaml
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# YOLOv5 ๐ by Ultralytics, AGPL-3.0 license
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# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
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# Example usage: python train.py --data coco128.yaml
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# parent
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# โโโ yolov5
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# โโโ datasets
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# โโโ coco128 โ downloads here (7 MB)
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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
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path: ../datasets/coco128 # dataset root dir
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train: images/train2017 # train images (relative to 'path') 128 images
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val: images/train2017 # val images (relative to 'path') 128 images
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test: # test images (optional)
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# Classes
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names:
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0: person
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1: bicycle
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2: car
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3: motorcycle
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4: airplane
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5: bus
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6: train
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7: truck
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8: boat
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9: traffic light
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10: fire hydrant
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11: stop sign
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12: parking meter
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13: bench
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14: bird
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15: cat
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16: dog
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17: horse
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18: sheep
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19: cow
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20: elephant
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21: bear
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22: zebra
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23: giraffe
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24: backpack
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25: umbrella
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26: handbag
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27: tie
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28: suitcase
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29: frisbee
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30: skis
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31: snowboard
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32: sports ball
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33: kite
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34: baseball bat
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35: baseball glove
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36: skateboard
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37: surfboard
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38: tennis racket
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39: bottle
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40: wine glass
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41: cup
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42: fork
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43: knife
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44: spoon
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45: bowl
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46: banana
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47: apple
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48: sandwich
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49: orange
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50: broccoli
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51: carrot
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52: hot dog
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53: pizza
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54: donut
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55: cake
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56: chair
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57: couch
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58: potted plant
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59: bed
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60: dining table
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61: toilet
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62: tv
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63: laptop
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64: mouse
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65: remote
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66: keyboard
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67: cell phone
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68: microwave
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69: oven
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70: toaster
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71: sink
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72: refrigerator
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73: book
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74: clock
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75: vase
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76: scissors
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77: teddy bear
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78: hair drier
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79: toothbrush
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# Download script/URL (optional)
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download: https://ultralytics.com/assets/coco128.zip
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test_image/video-2SReBn5LtAkL5HMj2-frame-000317-HTgPBFgZyPdwQnNvE.jpg
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test_image/video-2SReBn5LtAkL5HMj2-frame-005072-MA7NCLQGoqq9aHaiL.jpg
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test_image/video-2rsjnZFyGQGeynfbv-frame-003708-6fPQbB7jtibwaYAE7.jpg
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test_image/video-7cJxWPFMvPdSiWASY-frame-008959-fMpHFEn5YmJTGFYTB.jpg
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test_image/video-QQZ8wcAm8Y9EPufST-frame-000850-tfMPAXEz9sBFedkve.jpg
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test_image/video-jNQtRj6NGycZDEXpe-frame-002515-J3YntG8ntvZheKK3P.jpg
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test_image/video-kDDWXrnLSoSdHCZ7S-frame-003063-eaKjPvPskDPjenZ8S.jpg
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test_image/video-r68Yr9RPWEp5fW2ZF-frame-000333-X6K5iopqbmjKEsSqN.jpg
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