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| title: Cat vs Dog Classifier | |
| emoji: 🐱🐶 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Cat vs Dog Classifier | |
| This is a computer vision model that classifies images as either cats or dogs using EfficientNet-B1 architecture. | |
| ## How to use | |
| 1. Upload an image of a cat or dog | |
| 2. Click the "Submit" button | |
| 3. Get the prediction with confidence scores | |
| ## Model Details | |
| - Architecture: EfficientNet-B1 | |
| - Training Data: Cats vs Dogs dataset | |
| - Input Size: 224x224 pixels | |
| - Classes: Cat, Dog | |
| ## Performance | |
| The model achieves high accuracy on the test set and can handle various lighting conditions, poses, and breeds. | |