| title | CleanSea |
|---|---|
| emoji | 📈 |
| colorFrom | red |
| colorTo | blue |
| sdk | gradio |
| sdk_version | 5.29.0 |
| app_file | app.py |
| pinned | false |
| license | mit |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
These visualizations summarize the training and evaluation of our YOLOv10 model on a custom ocean trash dataset.
- Training Metrics: Tracks loss and performance over 120 training epochs.
- Confusion Matrix: Shows how well the model distinguishes among 16 garbage categories.
- F1 / Precision / PR Curves: Evaluate how confident and accurate the model is across classes.
📊 These help researchers assess strengths, weaknesses, and opportunities for improvement.
