From ifoodie-classifier-v6 Acc_Val 0.95
Browse files- .gitattributes +7 -0
- README.md +57 -0
- config.json +42 -0
- images/0.jpg +3 -0
- images/1.jpg +3 -0
- images/2.jpg +3 -0
- images/3.jpg +3 -0
- images/4.jpg +3 -0
- images/5.jpg +3 -0
- images/6.jpg +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1698149826.c9755f6aad0c.265.0 +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/0.jpg filter=lfs diff=lfs merge=lfs -text
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images/1.jpg filter=lfs diff=lfs merge=lfs -text
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images/2.jpg filter=lfs diff=lfs merge=lfs -text
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images/3.jpg filter=lfs diff=lfs merge=lfs -text
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images/4.jpg filter=lfs diff=lfs merge=lfs -text
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images/5.jpg filter=lfs diff=lfs merge=lfs -text
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images/6.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: ifoodie-classifier-v7
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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: 0.949999988079071
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---
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# ifoodie-classifier-v7
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['人物', '其他', '廣告', '拼貼壓字', '菜單', '食物', '餐廳']
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## Example Images
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# #### 人物
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# 
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#
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# #### 其他
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# 
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#
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# #### 廣告
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# 
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#
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# #### 拼貼壓字
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# 
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#
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# #### 菜單
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# 
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#
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# #### 食物
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# 
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#
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# #### 餐廳
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# 
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#
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config.json
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{
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"_name_or_path": "sainteye/ifoodie-classifier-v6",
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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": "\u4eba\u7269",
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"1": "\u5176\u4ed6",
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"2": "\u5ee3\u544a",
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"3": "\u62fc\u8cbc\u58d3\u5b57",
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"4": "\u83dc\u55ae",
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"5": "\u98df\u7269",
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"6": "\u9910\u5ef3"
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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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"\u4eba\u7269": "0",
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"\u5176\u4ed6": "1",
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"\u5ee3\u544a": "2",
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"\u62fc\u8cbc\u58d3\u5b57": "3",
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"\u83dc\u55ae": "4",
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"\u98df\u7269": "5",
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"\u9910\u5ef3": "6"
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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": "4.34.1"
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}
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images/0.jpg
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Git LFS Details
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images/1.jpg
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Git LFS Details
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images/2.jpg
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Git LFS Details
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images/3.jpg
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Git LFS Details
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images/4.jpg
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Git LFS Details
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images/5.jpg
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Git LFS Details
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images/6.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
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab8099bb49e03df04b302e58f528b1046d81185142a4cc15e24a8d5e67e4473a
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size 343281770
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runs/events.out.tfevents.1698149826.c9755f6aad0c.265.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1d5242fac5d200c1032c48781f5ffab8a404fc5a116158fcc5888bfa0176447
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size 2606
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