Archived nuScenes validation run: 2022-10-12-02-35-21
Source: archived 0.761 evaluation log.
Dataset: v1.0-trainval, val split, 6019 samples.
Rounded values reproduced from the saved log; experiment not rerun.

Per-class results:
		AMOTA	AMOTP	RECALL	MOTAR	GT	MOTA	MOTP	MT	ML	FAF	TP	FP	FN	IDS	FRAG	TID	LGD
bicycle 	0.674	0.663	0.660	0.847	1993	0.558	0.278	87	56	13.7	1313	201	678	2	3	0.44	0.66
bus     	0.873	0.523	0.855	0.919	2112	0.782	0.435	81	15	9.1	1797	146	306	9	15	0.27	0.73
car     	0.861	0.339	0.852	0.858	58317	0.725	0.247	2752	727	121.3	49241	6982	8656	420	154	0.19	0.36
motorcy 	0.823	0.532	0.869	0.924	1977	0.798	0.318	99	15	9.8	1708	130	259	10	2	0.42	0.67
pedestr 	0.831	0.414	0.869	0.866	25423	0.749	0.226	1290	241	66.1	21971	2939	3321	131	85	0.26	0.54
trailer 	0.529	0.936	0.617	0.716	2425	0.441	0.539	67	52	40.2	1495	425	928	2	5	0.79	1.27
truck   	0.739	0.528	0.775	0.776	9650	0.599	0.386	364	143	44.0	7447	1669	2175	28	22	0.18	0.47

Aggregated results:
AMOTA	0.761
AMOTP	0.562
RECALL	0.785
MOTAR	0.844
GT	14556
MOTA	0.664
MOTP	0.347
MT	4740
ML	1249
FAF	43.5
TP	84972
FP	12492
FN	16323
IDS	602
FRAG	286
TID	0.36
LGD	0.67
Eval time: 2312.8s