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| title: Fruit Classification Using Transfer Learning | |
| emoji: ๐ | |
| colorFrom: green | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 6.19.0 | |
| app_file: app.py | |
| pinned: false | |
| # Fruit Classification Using Transfer Learning | |
| This is a fruit classification model built using **Transfer Learning** with **VGG16** as the base model. The model is trained on the Fruits-360 dataset and can classify various fruits. | |
| ## How to Use | |
| 1. Upload an image of a fruit. | |
| 2. The model will predict the fruit name and show confidence. | |
| ## Model Details | |
| - Base Model: VGG16 (pre-trained on ImageNet) | |
| - Fine-tuned on Fruits-360 dataset | |
| - Input Size: 64x64 pixels | |
| - Accuracy: ~90% on test set | |
| ## Deployment | |
| Deployed on Hugging Face Spaces using Gradio. |