数据集统计

CV数据集

ImageNet

DIODE

NYUv2

website: NYUv2
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect. It features:

• 1449 densely labeled pairs of aligned RGB and depth images
• 464 new scenes taken from 3 cities
• 407,024 new unlabeled frames
• Each object is labeled with a class and an instance number (cup1, cup2, cup3, etc)

The dataset has several components:

• Labeled: A subset of the video data accompanied by dense multi-class labels. This data has also been preprocessed to fill in missing depth labels.
• Raw: The raw rgb, depth and accelerometer data as provided by the Kinect.
• Toolbox: Useful functions for manipulating the data and labels.

DrivingStereo (DS)

自动驾驶数据集

NuScenes (NS)

DDAD(Dense Depth for Autonomous Driving)

DDAD is a new autonomous driving benchmark from TRI (Toyota Research Institute) for long range (up to 250m)
Website: DDAD