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| title: Camie Tagger V2 App | |
| emoji: 👀 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - streamlit | |
| pinned: false | |
| short_description: camie-tagger-v2 inference space. | |
| license: gpl-3.0 | |
| ## 🖥️ Web Interface Guide | |
| The interface is divided into three main sections: | |
| 1. **Model Selection** (Sidebar): | |
| - Choose between Full Model, Initial-only Model or ONNX accelerated (initial only) | |
| - View model information and memory usage | |
| 2. **Image Upload** (Left Panel): | |
| - Upload your own images or select from examples | |
| - View the selected image | |
| 3. **Tagging Controls** (Right Panel): | |
| - Select threshold profile | |
| - Adjust thresholds for precision-recall and micro/macro tradeoff | |
| - Configure display options | |
| - View predictions organized by category | |
| ### Display Options: | |
| - **Show all tags**: Display all tags including those below threshold | |
| - **Compact view**: Hide progress bars for cleaner display | |
| - **Minimum confidence**: Filter out low-confidence predictions | |
| - **Category selection**: Choose which categories to include in the summary | |
| ### Interface Screenshots: | |
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| *Note the rare characters and tags idenified. Some only have 100's of samples on danbooru!* | |
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