commit files to HF hub
Browse files- .gitattributes +9 -0
- README.md +64 -0
- config.json +46 -0
- images/Exterior.jpeg +3 -0
- images/Interior +3 -0
- images/bathroom +3 -0
- images/bedroom +3 -0
- images/closets.jpg +3 -0
- images/dining_room +3 -0
- images/kitchen.jpeg +3 -0
- images/living_room +3 -0
- images/others.jpg +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -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.jpeg filter=lfs diff=lfs merge=lfs -text
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images/Interior filter=lfs diff=lfs merge=lfs -text
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images/bathroom 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.jpg 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.jpg 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: room-classification
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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: 0.8650000095367432
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---
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# room-classification
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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.jpeg)
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#### Interior
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![Interior](images/Interior)
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#### bathroom
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![bathroom](images/bathroom)
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#### bedroom
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![bedroom](images/bedroom)
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#### closets
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![closets](images/closets.jpg)
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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.jpg)
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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": "4.33.1"
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}
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images/Exterior.jpeg
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Git LFS Details
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images/Interior
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version https://git-lfs.github.com/spec/v1
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oid sha256:7cc3d94afabf755a7c41ba2b9ca597f508272fc6903f7939b6145b9cdfd66099
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size 69636
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images/bathroom
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6684ce06429c4fa5919ff962861e017086e1f294e664468857b2cc8608d2e29
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size 10244
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images/bedroom
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version https://git-lfs.github.com/spec/v1
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oid sha256:6263681f9958c9103699840e5ea6b67550bbef9a0989826d0de33754c87d4a6d
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size 43012
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images/closets.jpg
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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:d1fe178c2bcde0d0ead687ee26987d1024f82d6fb03a5cc3b3b22e7b85b371c9
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size 69636
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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:ad7fed3eb80e97c5fcfcc0cbfa42684c25d1fcece10c263f9769bf331665c128
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size 161796
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images/others.jpg
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Git LFS Details
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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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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd2c363fff13deaa26ef96c70ab255ffac2cc493fdf4a275a98468c11404fb61
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size 343287469
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