機械学習のお勉強(データセット)
Segmentation
ADK20K
いい感じ
SUN RGB-D
Introduced: CVPR 2015
Device: Kinect v1, Kinect v2, Intel RealSense and Asus Xtion Live Pro
Description: New images, plus images taken from NYUv2, B3DO and SUN3D. All of indoor scenes.
Labelling: 10,335 images with polygon annotation, and 3D bounding boxes around objects
The dataset contains RGB-D images from NYU depth v2 [1], Berkeley B3DO [2], and SUN3D [3]. Besides this paper, you are required to also cite the following papers if you use this dataset.
SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite
NYU Dataset v2
- ~408,000 RGBD images from 464 indoor scenes, of a somewhat larger diversity than NYU v1. Per-frame accelerometer data.
NYU Depth V2 « Nathan Silberman
SceneNet RGB-D
Description: 5 million images rendered of 16,895 indoor scenes. Room configuration randomly generated with physics simulator.
Labelling: Camera pose, plus per-pixel instance, class labelling and optical flow.
SceneNet RGB-D: Photorealistic Rendering of 5M Images with Perfect Ground Truth