MIUN dataset for semi-autonomous powered wheelchair control
SND-ID: 2021-303-1. Version: 1. DOI: https://doi.org/10.5878/k44d-3y06
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Cristian Vilar - Mid Sweden University
Mid Sweden University - Department Electronic design
Images are captured by an Intel Realsense D455 depth camera. The dataset includes separate image files for each camera output (Depth, RGB, RGBD) and annotated labels for each frame. Each camera measurement contains 30 seconds of images, recorded at 6 frames/second (180 frames). The total number of images is 6000 (3000 including feet labels and 3000 without). The labelling process has been performed using the software labelImg. Sample scenarios and related frame numbers are defined in the readme.txt file.
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Department Electronic design
Electrical engineering, electronic engineering, information engineering (Standard för svensk indelning av forskningsämnen 2011)
Robotics (Standard för svensk indelning av forskningsämnen 2011)
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