YOLO Model Training & Hazelnut Detection Tasks

[yuhsiang1117]

This issue is created to track the progress of YOLO model learning, testing, and scoring evaluation.

1. Study YOLO training workflow

   • Refer to Camera Team notes and Eurobot2025 repository.
   • Understand dataset preparation, annotation format, hyperparameters, augmentation, and training pipeline.

2. Test YOLO performance on hazelnut detection

   • Collect/prepare dataset for hazelnut classification & detection.
   • Train or evaluate existing model.
   • Record detection accuracy, inference speed, and failure cases.

3. Calculate scoring for each scoring area

   • Analyze detection output and classify into scoring zones.
   • Compute total score for each area based on detection results.

Please work this task on feat/hazelnut_detect_yolo
If you have any questions or ideas, please feel free to bring them up as soon as possible.