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README.md

@@ -52,3 +52,9 @@ The model was trained on the ImageNet dataset with the following configuration:
 - Learning Rate: 0.003 with cosine scheduling
 - Batch Size: 256
 - Data Augmentation: RandomResizedCrop, RandomHorizontalFlip, ColorJitter, RandomAffine, RandomPerspective
+
+## Preprocessing
+
+The model expects images to be preprocessed as follows:
+- Resize to 224x224
+- Normalize with mean [0.485, 0.456, 0.406] and std [0.229, 0.224, 0.225]

preprocessor_config.json

@@ -0,0 +1 @@
+{"do_normalize": true, "do_resize": true, "image_mean": [0.485, 0.456, 0.406], "image_processor_type": "AutoImageProcessor", "image_std": [0.229, 0.224, 0.225], "resample": 2, "size": {"height": 224, "width": 224}}