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RGB+D Dataset

Large-scale RGBD Database for Depth Estimation

RGB+D Dataset

We introduce an RGB-D scene dataset consisting of more than 200 indoor / outdoor scenes.This dataset contains synchronized RGB-D frames from both Kinect v2 and Zed stereo camera. For the outdoor scene, we first generate disparity maps using an accurate stereo matching method and convert them using calibration parameters. A per-pixel confidence map of disparity is also provided. Our scenes are captured at various places, e.g., offices, rooms, dormitory, exhibition center, street, road etc., from Yonsei University and Ewha UniversityThis dataset has been used to train convolutional neural networks in our project [1] and for our papers[2], [3], [4] "High quality 2D-to-multiview contents generation from large-scale RGB-D database", under Grant by the Institute for Information and Communications Technology Promotion(IITP) through the Korean Government(MSIP)(R0115-16-1007)

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DIML
https://dimlrgbd.github.io
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Image Classification
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Last updated on 
January 20, 2022
Licensed under 
Research Only
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