空飛ぶロボットのつくりかた

ロボットをつくるために必要な技術をまとめます。ロボットの未来についても考えたりします。

機械学習のお勉強（データセット）

Machine Learning

Segmentation

ADK20K

いい感じ

ADE20K dataset

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