five

Results on the nuScenes validation set. The results are compared across different methods using LiDAR (L) and Camera (C) modalities(Mod). The performance is evaluated both overall (mAP, NDS) and at the per-class level [75]. The classes include Car, Truck(Tru), Construction Vehicle (C.V.), Bus, Trailer(Tra), Barrier(Bar), Motorcycle (Motor), Bike, Pedestrian (Ped.), and Traffic Cone (T.C.). Small object categories include pedestrian, traffic cone, and bicycle, which show the most notable mAP improvements.

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Results_on_the_nuScenes_validation_set_The_results_are_compared_across_different_methods_using_LiDAR_L_and_Camera_C_modalities_Mod_The_performance_is_evaluated_both_overall_mAP_NDS_and_at_the_per-class_level_75_The_classes_include_Car_Truck/30057026
下载链接
链接失效反馈
官方服务:
资源简介:
Results on the nuScenes validation set. The results are compared across different methods using LiDAR (L) and Camera (C) modalities(Mod). The performance is evaluated both overall (mAP, NDS) and at the per-class level [75]. The classes include Car, Truck(Tru), Construction Vehicle (C.V.), Bus, Trailer(Tra), Barrier(Bar), Motorcycle (Motor), Bike, Pedestrian (Ped.), and Traffic Cone (T.C.).   Small object categories include pedestrian, traffic cone, and bicycle, which show the most notable mAP improvements.
创建时间:
2025-09-04
二维码
社区交流群
二维码
科研交流群
商业服务