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README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: cv_apple_leaf_disease_detection
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9758327603340149
+---
+
+# cv_apple_leaf_disease_detection
+
+
+Autogenerated by HuggingPics🤗🖼️
+
+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).
+
+Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
+
+
+## Example Images
+
+
+#### Alternaria leaf spot
+
+![Alternaria leaf spot](images/Alternaria_leaf_spot.jpg)
+
+#### Brown spot
+
+![Brown spot](images/Brown_spot.jpg)
+
+#### Frogeye leaf spot
+
+![Frogeye leaf spot](images/Frogeye_leaf_spot.jpg)
+
+#### Grey spot
+
+![Grey spot](images/Grey_spot.jpg)
+
+#### Health
+
+![Health](images/Health.jpg)
+
+#### Mosaic
+
+![Mosaic](images/Mosaic.jpg)
+
+#### Powdery mildew
+
+![Powdery mildew](images/Powdery_mildew.jpg)
+
+#### Rust
+
+![Rust](images/Rust.jpg)
+
+#### Scab
+
+![Scab](images/Scab.jpg)

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Alternaria leaf spot",
+    "1": "Brown spot",
+    "2": "Frogeye leaf spot",
+    "3": "Grey spot",
+    "4": "Health",
+    "5": "Mosaic",
+    "6": "Powdery mildew",
+    "7": "Rust",
+    "8": "Scab"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Alternaria leaf spot": "0",
+    "Brown spot": "1",
+    "Frogeye leaf spot": "2",
+    "Grey spot": "3",
+    "Health": "4",
+    "Mosaic": "5",
+    "Powdery mildew": "6",
+    "Rust": "7",
+    "Scab": "8"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+oid sha256:f8bc502514c1c6d8c711cfa1707dda3efe9216cde7439c46a6825f5509c14004
+size 343287469

runs/events.out.tfevents.1694075527.gpu1.3029.0

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+size 109765