NAO_Roboter_Erkennung/yolo_training/NAO_detector20/results.csv

1	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
2	1	7.52047	1.11723	2.50827	1.23344	0.64416	0.6625	0.61984	0.42558	0.9807	2.84796	1.01126	0.00026	0.00026	0.00026
3	2	13.5902	1.01682	1.57683	1.09305	1	0.12005	0.76681	0.44889	1.05037	2.75628	1.06677	0.000529308	0.000529308	0.000529308
4	3	19.5255	1.02244	1.39512	1.15623	0.8902	0.6	0.82099	0.51933	1.15541	2.53382	1.13425	0.000787528	0.000787528	0.000787528
5	4	25.4312	1.03477	1.36568	1.15	0.69453	0.45479	0.54394	0.33059	1.18176	2.86775	1.29124	0.00103466	0.00103466	0.00103466
6	5	31.4153	1.05084	1.29919	1.1604	0.74022	0.6125	0.67861	0.46042	1.10177	2.15402	1.20983	0.0012707	0.0012707	0.0012707
7	6	37.2791	1.06106	1.2984	1.16066	0.76601	0.45015	0.53968	0.32264	1.32466	2.36514	1.48035	0.00149566	0.00149566	0.00149566
8	7	43.1021	1.09893	1.24551	1.19656	0.82645	0.65481	0.73781	0.49082	1.1212	2.01043	1.27297	0.00170953	0.00170953	0.00170953
9	8	48.9792	1.03723	1.1235	1.16268	0.71323	0.6625	0.74511	0.45166	1.1994	1.97413	1.27788	0.0017228	0.0017228	0.0017228