ApolloScape Lane Segmentation
Autonomous Driving
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许可协议: Unknown

Overview

An accurate High Definition (HD) Maps with lane markings usually serves as the back-end for all commercial auto-drive vehicles for navigation. Currently, most HD maps are constructed manually by human labelers. In this challenge, we require participants to develop algorithms to extract all basic road elements from RGB image frames. The segmentation results can be directly used for HD Maps construction or updating process.
This repository contains the evaluation scripts for the landmark detection 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 pixel-level annotations of 110 000+ frames.

数据概要
数据格式
Image,
数据量
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文件大小
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发布方
Baidu
Baidu is a Chinese multinational technology company specializing in Internet-related services and products and artificial intelligence (AI), headquartered in Beijing's Haidian District.
数据集反馈
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