commit files to HF hub
Browse files- README.md +52 -0
- config.json +36 -0
- images/cucumber.jpg +0 -0
- images/green_beans.jpg +0 -0
- images/okra.jpg +0 -0
- images/pickle.jpg +0 -0
- images/zucinni.jpg +0 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1639348013.4cc52563e5c3.74.0 +3 -0
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: greens
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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: 0.7589285969734192
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---
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# greens
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Autogenerated by HuggingPics🤗🖼️
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Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
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Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
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## Example Images
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#### cucumber
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![cucumber](images/cucumber.jpg)
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#### green beans
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![green beans](images/green_beans.jpg)
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#### okra
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![okra](images/okra.jpg)
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#### pickle
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![pickle](images/pickle.jpg)
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#### zucinni
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![zucinni](images/zucinni.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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"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": "cucumber",
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"1": "green beans",
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"2": "okra",
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"3": "pickle",
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"4": "zucinni"
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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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"cucumber": "0",
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"green beans": "1",
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"okra": "2",
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"pickle": "3",
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"zucinni": "4"
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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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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.13.0"
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}
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images/cucumber.jpg
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images/green_beans.jpg
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images/okra.jpg
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images/pickle.jpg
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images/zucinni.jpg
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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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_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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"size": 224
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:659924841eb66ea392589d36bdcc2dcfb7c8475d92853a480b22e2dbc2fecc6f
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size 343286257
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runs/events.out.tfevents.1639348013.4cc52563e5c3.74.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:be069ef0066721106c09234171074bcc3ca1d6d280bcb8b9b63d4b44fcd8c7c2
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size 1444
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