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| title: ResNetVision 1K | |
| emoji: 📉 | |
| colorFrom: blue | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.9.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: ResNet 50 model trained on Imagenet-1k data. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # ImageNet-1K Classification Model | |
| This is a deep learning model trained on the ImageNet-1K dataset, capable of classifying images into 1000 different categories. | |
| ## Usage | |
| Upload an image using the interface and the model will return the top 5 most likely classifications along with their probabilities. | |
| ## Model Details | |
| - Architecture: ResNet-based model trained using PyTorch Lightning | |
| - Dataset: ImageNet-1K | |
| - Input: Images (recommended size: 224x224) | |
| - Output: Probabilities for 1000 ImageNet classes |