Spy Glass Object Detection Model
Created by FRC Team 578
Description
These YOLO models were trained for FRC competitions. It detects the bumper of red and blue robots, and game pieces.
Metrics
YOLO v11 (model11n.pt)
| Class | Images | Instances | Box | R | mAP50 | mAP50-95 |
|---|---|---|---|---|---|---|
| all | 191 | 846 | 0.870 | 0.772 | 0.850 | 0.600 |
| red robot | 117 | 176 | 0.870 | 0.847 | 0.912 | 0.697 |
| blue robot | 108 | 143 | 0.876 | 0.790 | 0.853 | 0.619 |
| game piece | 131 | 527 | 0.864 | 0.679 | 0.785 | 0.484 |
YOLO v10 (model10s.pt)
| Class | Images | Instances | Box | R | mAP50 | mAP50-95 |
|---|---|---|---|---|---|---|
| all | 191 | 846 | 0.898 | 0.737 | 0.832 | 0.596 |
| red robot | 117 | 176 | 0.913 | 0.830 | 0.909 | 0.703 |
| blue robot | 108 | 143 | 0.902 | 0.776 | 0.845 | 0.619 |
| game piece | 131 | 527 | 0.879 | 0.606 | 0.743 | 0.467 |
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