Mapillary Traffic Sign Dataset

Mapillary交通标志数据集是世界上最大，最多样化的公共交通标志数据集，用于教学机器检测和识别交通标志。该数据集由来自世界各地的100,000图像组成，从天气和时间到摄像头传感器和视点的所有内容都具有很高的可变性。已对300多个不同的交通标志类别进行了验证和注释，从而在图像中产生了320,000多个标记的交通标志。使用我们的计算机视觉技术，人类已经对52,000多个图像进行了充分的验证和注释，其余图像部分进行了注释。

The Mapillary Traffic Sign Dataset is the largest and most diverse public traffic sign dataset globally, designed for teaching machines to detect and recognize traffic signs. This dataset comprises 100,000 images collected from across the world, featuring high variability across all factors including weather conditions, time of day, camera sensors, and viewing viewpoints. Over 300 distinct traffic sign categories have been verified and annotated, resulting in more than 320,000 labeled traffic signs within these images. Utilizing our computer vision technology, human annotators have fully validated and annotated over 52,000 images, while the remaining images have undergone partial annotation.

搜集汇总

背景与挑战

背景概述

Mapillary交通标志数据集是世界上最大、最多样化的公共交通标志数据集，包含100,000张全球图像，覆盖天气、时间等多种可变性条件。它标注了300多个交通标志类别，总计超过320,000个标记，主要用于机器检测和识别交通标志，适用于自动驾驶领域。