Detection_Experiment/fashion_yolo/aihub_exp/yolov8s_fashion/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	537.591	0.31592	0.73548	0.96999	0.78711	0.7828	0.83314	0.80005	0.2334	0.57004	0.86224	0.0670252	0.000333079	0.000333079
3	2	1047.8	0.31123	0.57773	0.96044	0.73462	0.78939	0.8564	0.84804	0.17432	0.50819	0.82295	0.0340219	0.000663114	0.000663114
4	3	1562.15	0.29818	0.53937	0.95306	0.84157	0.85019	0.91244	0.90544	0.15707	0.36254	0.81149	0.00101525	0.000989848	0.000989848
5	4	2077.15	0.28065	0.49792	0.94603	0.88001	0.87659	0.93355	0.93232	0.11848	0.2798	0.79165	0.00098515	0.00098515	0.00098515
6	5	2588.86	0.26853	0.46207	0.94036	0.88174	0.89786	0.94481	0.94383	0.10573	0.24894	0.78506	0.0009802	0.0009802	0.0009802
7	6	3099.81	0.25891	0.44161	0.93634	0.9048	0.89586	0.9502	0.94945	0.09195	0.22762	0.78043	0.00097525	0.00097525	0.00097525
8	7	3607.6	0.2526	0.42709	0.93365	0.89822	0.91219	0.95607	0.95559	0.08434	0.20666	0.77541	0.0009703	0.0009703	0.0009703
9	8	4116.48	0.24902	0.41159	0.93273	0.91249	0.90943	0.95886	0.95852	0.08056	0.19808	0.77446	0.00096535	0.00096535	0.00096535
10	9	4631.09	0.24722	0.40261	0.93189	0.90378	0.92017	0.96013	0.95987	0.07751	0.19465	0.77274	0.0009604	0.0009604	0.0009604
11	10	5142.15	0.24136	0.39352	0.92883	0.91669	0.91271	0.96146	0.96127	0.07393	0.18613	0.77182	0.00095545	0.00095545	0.00095545
12	11	5655.13	0.23686	0.38078	0.92699	0.9137	0.9152	0.96275	0.96259	0.07066	0.1812	0.77011	0.0009505	0.0009505	0.0009505
13	12	6166.99	0.23468	0.37665	0.9259	0.91422	0.91415	0.96362	0.96342	0.06915	0.17854	0.76943	0.00094555	0.00094555	0.00094555
14	13	6680.34	0.23247	0.36991	0.92494	0.90222	0.9269	0.96386	0.96368	0.0682	0.17739	0.76895	0.0009406	0.0009406	0.0009406
15	14	7194.69	0.23053	0.36348	0.92468	0.91431	0.91755	0.96394	0.96378	0.06729	0.17727	0.76854	0.00093565	0.00093565	0.00093565
16	15	7707.51	0.22804	0.35867	0.92329	0.91653	0.91783	0.96429	0.96412	0.06656	0.17531	0.76825	0.0009307	0.0009307	0.0009307
17	16	8219.29	0.22732	0.35486	0.92281	0.91488	0.91982	0.96437	0.9642	0.06573	0.17464	0.76796	0.00092575	0.00092575	0.00092575
18	17	8732.79	0.22742	0.35071	0.92322	0.918	0.91724	0.96453	0.96435	0.06527	0.17411	0.76783	0.0009208	0.0009208	0.0009208
19	18	9247.94	0.22677	0.34743	0.92351	0.91517	0.91813	0.96462	0.96443	0.06464	0.17382	0.76765	0.00091585	0.00091585	0.00091585
20	19	9762.34	0.22415	0.34395	0.92166	0.9126	0.91959	0.96468	0.9645	0.06444	0.17379	0.76763	0.0009109	0.0009109	0.0009109
21	20	10279.6	0.22341	0.33957	0.9218	0.90493	0.92716	0.96487	0.96468	0.06417	0.1738	0.7676	0.00090595	0.00090595	0.00090595
22	21	10795.6	0.22162	0.33756	0.92031	0.90863	0.92226	0.96492	0.96477	0.06413	0.17355	0.76753	0.000901	0.000901	0.000901
23	22	11311.9	0.22077	0.33169	0.92081	0.90921	0.92403	0.96489	0.96473	0.06397	0.1732	0.7675	0.00089605	0.00089605	0.00089605
24	23	11828.2	0.22102	0.33069	0.92076	0.90695	0.92488	0.96507	0.96488	0.06376	0.17277	0.76745	0.0008911	0.0008911	0.0008911
25	24	12343.3	inf	0.32755	0.92019	0.90925	0.92283	0.96508	0.96493	0.06385	0.17265	0.76749	0.00088615	0.00088615	0.00088615
26	25	12858.3	0.21934	0.32372	0.92008	0.9166	0.91806	0.96515	0.96495	0.06401	0.17222	0.76752	0.0008812	0.0008812	0.0008812
27	26	13372.4	0.21782	0.32029	0.91883	0.91643	0.91857	0.96547	0.96526	0.06379	0.17132	0.7674	0.00087625	0.00087625	0.00087625