apolloscape
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Overview
Tagline Brand's website · 2026-10-04
Offers much larger and richer labeling compared to existing public datasets (e.g., KITTI, Cityscapes), containing at least 15x more images and diverse labeling types. Includes specialized tools and algorithms for accelerated labeling, supporting joint learning and inference of multiple tasks for robust and accurate systems.
Description Brand's website · 2026-10-04
The ApolloScape dataset is a large-scale, richly labeled open dataset for autonomous driving, providing holistic semantic dense point cloud, stereo, per-pixel semantic labelling, lanemark labelling, instance segmentation, 3D car instance, and high-accurate location for every frame in various driving videos from multiple sites, cities and daytimes. It aims to address the bottleneck of large-scale data for training and evaluating robust perception models for self-driving cars.
Offerings
Core capabilities Brand's website · 2026-10-04
- ApolloScape Open Dataset for Autonomous Driving (includes holistic semantic dense point cloud
- stereo
- per-pixel semantic labelling
- lanemark labelling
- instance segmentation
- 3D car instance
- high accurate location for every frame in driving videos)
Pricing Brand's website · 2026-10-04
Open-source / Free
Audience
Target industry Brand's website · 2026-10-04
Researchers and developers in autonomous driving, computer vision, multi-sensor fusion, and multi-task learning.
Landscape
Competitors Brand's website · 2026-10-04
- KITTI
- Cityscapes
- BDD100K
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Claim apolloscape — free →Page last updated 2026-10-17.