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Download README.md from Terence9/Waste_Classification: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Terence9/Waste_Classification/resolve/main/README.md
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436 Bytes
| title: Waste Classification | |
| emoji: ♻️ | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: docker | |
| python_version: '3.10' | |
| app_file: app.py | |
| app_port: 7860 | |
| short_description: Classify waste images as dry or wet using a PyTorch model. | |
| tags: | |
| - image-classification | |
| - waste-management | |
| - pytorch | |
| - computer-vision | |
| - docker | |
| pinned: false | |
| license: mit | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |