语义分割数据集汇总

cityscapes
A new large-scale dataset that contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities, with high quality pixel-level annotations of 5 000 frames in addition to a larger set of 20 000 weakly annotated frames. The dataset is thus an order of magnitude larger than similar previous attempts.

voc

mscoco

ADE20k
Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Scene Parsing Benchmark (SceneParse150) provides a standard training and evaluation platform for the algorithms of scene parsing. The data for this benchmark comes from ADE20K Dataset which contains more than 20K scene-centric images exhaustively annotated with objects and object parts. Specifically, the benchmark is divided into 20K images for training, 2K images for validation, and another batch of held-out images for testing. There are totally 150 semantic categories included for evaluation, which include stuffs like sky, road, grass, and discrete objects like person, car, bed. Note that there are non-uniform distribution of objects occuring in the images, mimicking a more natural object occurrence in daily scene.

deepdrive
Instance Segmentation. Explore over 10,000 diverse images with pixel-level and rich instance-level annotations.

apolloscapes
我们的场景解析是旨在为图像中的每个像素/点云标注语义（类）标签，创建最全面的2D/3D场景分析。鉴于自动驾驶技术的兴起，预计环境感知将是支持自动驾驶的关键技术。百度提供的ApolloScape数据集将包括具有高分辨率图像和像素级别标注的RGB视频，具有场景级语义分割的密集三维点云、基于双目立体视觉的视频和全景图像。
我们提供了一辆配备了高分辨率相机和Riegl采集系统的中型SUV进行数据采集，我们的数据集包含不同城市的不同交通状况的道路行驶数据，平均每张图中移动障碍物（如车辆和行人）的数量从几十到上百不等。此外，每张图像都包含了厘米精度范围的高精度姿态信息以及，具有毫米相对精度的静态环境点云。我们希望我们提供的新数据集可以让自动驾驶相关的应用都有所受益，包括但是不限于2D/3D场景解析、定位、迁移学习和驾驶仿真。

CamVid
The Cambridge-driving Labeled Video Database (CamVid) is the first collection of videos with object class semantic labels, complete with metadata. The database provides ground truth labels that associate each pixel with one of 32 semantic classes.

Playing for Data
pixel-accurate semantic label maps for images extracted from modern computer games.