Results table for YOLO after optimization
| Class | Train | Validation | Test | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Precision | Recall | mAP@50 | Precision | Recall | mAP@50 | Precision | Recall | mAP@50 | |
| All | 0.283 | 0.983 | 0.281 | 0.277 | 0.759 | 0.238 | 0.263 | 0.707 | 0.217 |
| catenary_pole | 0.694 | 0.998 | 0.693 | 0.695 | 0.973 | 0.677 | 0.705 | 0.972 | 0.686 |
| semaphore | 0.222 | 1.000 | 0.222 | 0.333 | 0.875 | 0.292 | 0.191 | 0.818 | 0.156 |
| warning_shield | 0.231 | 1.000 | 0.231 | 0.214 | 0.923 | 0.197 | 0.273 | 0.900 | 0.245 |
| road_lights | 0.226 | 0.955 | 0.216 | 0.194 | 0.706 | 0.137 | 0.179 | 0.625 | 0.112 |
| road_barrier | 0.201 | 1.000 | 0.201 | 0.151 | 0.555 | 0.084 | 0.123 | 0.389 | 0.048 |
| weights | 0.123 | 0.944 | 0.121 | 0.073 | 0.520 | 0.038 | 0.107 | 0.538 | 0.056 |
| Class | Train | Validation | Test | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Precision | Recall | mAP@50 | Precision | Recall | mAP@50 | Precision | Recall | mAP@50 | |
| All | 0.283 | 0.983 | 0.281 | 0.277 | 0.759 | 0.238 | 0.263 | 0.707 | 0.217 |
| catenary_pole | 0.694 | 0.998 | 0.693 | 0.695 | 0.973 | 0.677 | 0.705 | 0.972 | 0.686 |
| semaphore | 0.222 | 1.000 | 0.222 | 0.333 | 0.875 | 0.292 | 0.191 | 0.818 | 0.156 |
| warning_shield | 0.231 | 1.000 | 0.231 | 0.214 | 0.923 | 0.197 | 0.273 | 0.900 | 0.245 |
| road_lights | 0.226 | 0.955 | 0.216 | 0.194 | 0.706 | 0.137 | 0.179 | 0.625 | 0.112 |
| road_barrier | 0.201 | 1.000 | 0.201 | 0.151 | 0.555 | 0.084 | 0.123 | 0.389 | 0.048 |
| weights | 0.123 | 0.944 | 0.121 | 0.073 | 0.520 | 0.038 | 0.107 | 0.538 | 0.056 |
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