<- Back to Datasets

ApolloCar3D

A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

ApolloCar3D

For self-driving cars, it is important to detect the other vehicles, pedestrians, riders, etc. The system must understand the 3D relationship of each object in each image frame, especially those surrounding or near the self-driving vehicle.This repository contains the evaluation scripts for the 3d car instance understanding challenge of the ApolloScapes dataset. This large-scale dataset contains a diverse set of stereo video sequences recorded in street scenes from different cities, with high quality annotations of 5000+ frames.

View this Dataset
->
APOLLOSCAPE
http://apolloscape.auto
Task
Autonomous Driving
Annotation Types
Bounding Boxes
Items
Classes
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
Label your own datasets on V7
Try our trial or talk to one of our experts.