| title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned | license |
|---|---|---|---|---|---|---|---|---|
CleanSea |
📈 |
red |
blue |
gradio |
5.29.0 |
app.py |
false |
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.
