Spy Glass Object Detection Model
Created by FRC Team 578
Description
This YOLO v10 small model was trained for FRC competitions. It was to detect the bumper of red and blue robots, and game pieces.
Metrics
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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This model is not currently available via any of the supported third-party Inference Providers, and
the HF Inference API does not support ultralytics models with pipeline type object-detection