commit files to HF hub
Browse files- .gitattributes +9 -0
- README.md +64 -0
- config.json +46 -0
- images/Exterior +3 -0
- images/Interior.JPEG +3 -0
- images/bathroom.JPEG +3 -0
- images/bedroom +3 -0
- images/closets.JPEG +3 -0
- images/dining_room +3 -0
- images/kitchen.JPEG +3 -0
- images/living_room +3 -0
- images/others +3 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images/Exterior filter=lfs diff=lfs merge=lfs -text
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images/Interior.JPEG filter=lfs diff=lfs merge=lfs -text
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images/bathroom.JPEG filter=lfs diff=lfs merge=lfs -text
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images/bedroom filter=lfs diff=lfs merge=lfs -text
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images/closets.JPEG filter=lfs diff=lfs merge=lfs -text
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images/dining_room filter=lfs diff=lfs merge=lfs -text
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images/kitchen.JPEG filter=lfs diff=lfs merge=lfs -text
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images/living_room filter=lfs diff=lfs merge=lfs -text
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images/others filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- image-classification
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- pytorch
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- huggingpics
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metrics:
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- accuracy
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model-index:
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- name: living-spaces-classification_scraper_balanced
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results:
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- task:
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name: Image Classification
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type: image-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9684106707572937
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---
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# living-spaces-classification_scraper_balanced
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House & Apartaments Classification model🤗🖼️
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## Example Images
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#### Exterior
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![Exterior](images/Exterior)
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#### Interior
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![Interior](images/Interior.JPEG)
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#### bathroom
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![bathroom](images/bathroom.JPEG)
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#### bedroom
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![bedroom](images/bedroom)
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#### closets
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![closets](images/closets.JPEG)
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#### dining_room
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![dining_room](images/dining_room)
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#### kitchen
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![kitchen](images/kitchen.JPEG)
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#### living_room
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![living_room](images/living_room)
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#### others
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![others](images/others)
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "Exterior",
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"1": "Interior",
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"2": "bathroom",
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"3": "bedroom",
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"4": "closets",
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"5": "dining_room",
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"6": "kitchen",
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"7": "living_room",
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"8": "others"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Exterior": "0",
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"Interior": "1",
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"bathroom": "2",
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"bedroom": "3",
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"closets": "4",
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"dining_room": "5",
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"kitchen": "6",
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"living_room": "7",
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"others": "8"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2"
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}
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images/Exterior
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version https://git-lfs.github.com/spec/v1
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oid sha256:d65165279105ca6773180500688df4bdc69a2c7b771752f0a46ef120b7fd8ec3
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size 6148
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images/Interior.JPEG
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Git LFS Details
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images/bathroom.JPEG
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Git LFS Details
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images/bedroom
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version https://git-lfs.github.com/spec/v1
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oid sha256:d65165279105ca6773180500688df4bdc69a2c7b771752f0a46ef120b7fd8ec3
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size 6148
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images/closets.JPEG
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Git LFS Details
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images/dining_room
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:d65165279105ca6773180500688df4bdc69a2c7b771752f0a46ef120b7fd8ec3
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size 6148
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images/kitchen.JPEG
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Git LFS Details
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images/living_room
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version https://git-lfs.github.com/spec/v1
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oid sha256:d65165279105ca6773180500688df4bdc69a2c7b771752f0a46ef120b7fd8ec3
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size 6148
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images/others
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version https://git-lfs.github.com/spec/v1
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oid sha256:d65165279105ca6773180500688df4bdc69a2c7b771752f0a46ef120b7fd8ec3
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size 6148
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:70515ce3b0c76a1c65b9e13a7e82f953b46617eb01f9be615943a8e27f6b5be7
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size 343245508
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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