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UTD-MHAD

Action recognition dataset

UTD-MHAD

The UTD-MHAD dataset consists of 27 different actions performed by 8 subjects. Each subject repeated the action for 4 times, resulting in 861 action sequences in total. The RGB, depth, skeleton and the inertial sensor signals were recorded.

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Signal and Image Processing (SIP) Lab & Embedded Systems and Signal Processing (ESSP) Lab
https://siplab.hw.ac.uk
Task
Event Detection
Annotation Types
Bounding Boxes
Items
Classes
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Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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