| Model | scales | 状态 | Parameters | GFLOPs | epoch | time | train/box_loss | train/cls_loss | train/dfl_loss | metrics/precision(B) | metrics/recall(B) | metrics/mAP50(B) | metrics/mAP50-95(B) | val/box_loss | val/cls_loss | val/dfl_loss | lr/pg0 | lr/pg1 | lr/pg2 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | scales | 状态 | Parameters | GFLOPs | epoch | time | train/box_loss | train/cls_loss | train/dfl_loss | metrics/precision(B) | metrics/recall(B) | metrics/mAP50(B) | metrics/mAP50-95(B) | val/box_loss | val/cls_loss | val/dfl_loss | lr/pg0 | lr/pg1 | lr/pg2 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | scales | 状态 | Parameters | GFLOPs | epoch | time | train/box_loss | train/seg_loss | train/cls_loss | train/dfl_loss | metrics/precision(B) | metrics/recall(B) | metrics/mAP50(B) | metrics/mAP50-95(B) | metrics/precision(M) | metrics/recall(M) | metrics/mAP50(M) | metrics/mAP50-95(M) | val/box_loss | val/seg_loss | val/cls_loss | val/dfl_loss | lr/pg0 | lr/pg1 | lr/pg2 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| model | coco/car_precision | coco/truck_precision | coco/motor_precision | coco/pedestrian_precision | coco/van_precision | coco/tricycle_precision | coco/people_precision | coco/bus_precision | coco/bbox_mAP | coco/bbox_mAP_50 | coco/bbox_mAP_75 | coco/bbox_mAP_s | coco/bbox_mAP_m | coco/bbox_mAP_l | data_time | time |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| faster-rcnn_r50_fpn_2x_nightdrone | 0.4090 | 0.3040 | 0.1680 | 0.0450 | 0.2110 | 0.3720 | 0.0680 | 0.4350 | 0.2510 | 0.4430 | 0.2680 | 0.1230 | 0.2900 | 0.3960 | 0.0016 | 0.0614 |
| faster-rcnn_r50_fpn_2x_nightdrone_ADownGatedV3_V3d | 0.4040 | 0.3120 | 0.1640 | 0.0450 | 0.2100 | 0.3710 | 0.0780 | 0.4470 | 0.2540 | 0.4490 | 0.2640 | 0.1190 | 0.2950 | 0.3770 | 0.0016 | 0.0479 |