# apolloscape

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/apolloscape
- **Dataset:** https://optimly.ai/brand/apolloscape.json
- **Markdown:** https://optimly.ai/brand/apolloscape/llms.txt
- **Official website:** https://arxiv.org
- **Slug:** apolloscape
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** 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.
Source: Brand's website (https://arxiv.org) · 2026-10-04

- **Description:** 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.
Source: Brand's website (https://arxiv.org) · 2026-10-04

## Offerings

- **Core capabilities:**
  - 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)
Source: Brand's website (https://arxiv.org) · 2026-10-04

- **Pricing:** Open-source / Free
Source: Brand's website (https://arxiv.org) · 2026-10-04

## Audience

- **Target industry:** Researchers and developers in autonomous driving, computer vision, multi-sensor fusion, and multi-task learning.
Source: Brand's website (https://arxiv.org) · 2026-10-04

## Landscape

- **Competitors:**
  - KITTI
  - Cityscapes
  - BDD100K
Source: Brand's website (https://arxiv.org) · 2026-10-04

Page last updated 2026-10-17.