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--- |
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title: X-YOLOv10 |
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emoji: 🔍 |
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colorFrom: indigo |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 4.19.2 |
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app_file: app.py |
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pinned: false |
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--- |
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# YOLOv10 Saliency Heat-map Visualiser |
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This Gradio app demonstrates object detection and saliency visualization using YOLOv10 models trained on the VOC dataset. The app allows users to: |
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1. Choose between vanilla and finetuned YOLOv10 models |
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2. Upload custom images or use provided examples |
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3. Visualize object detections with bounding boxes |
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4. See saliency heat-maps for each detected object |
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## Models |
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- **Vanilla VOC**: Base YOLOv10 model trained on VOC dataset |
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- **Finetune VOC**: Fine-tuned YOLOv10 model with enhanced performance |
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## Features |
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- Interactive web interface |
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- Real-time object detection |
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- Saliency heat-map generation |
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- Adjustable confidence threshold |
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- Example images included |
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## Usage |
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1. Select a model from the dropdown menu |
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2. Upload an image or use one of the example images |
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3. Adjust the confidence threshold if needed |
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4. View the detection results and saliency heat-maps |
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## Technical Details |
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The app uses: |
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- Gradio for the web interface |
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- YOLOv10 for object detection |
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- Custom feature extraction for saliency visualization |
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- OpenCV for image processing |
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## Examples |
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The app includes two example images demonstrating the capabilities of the vanilla model. |
