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MECCANO

The MECCANO dataset is the first dataset of egocentric videos to study human-object interactions in industrial-like settings.

MECCANO

The MECCANO dataset has been acquired in an industrial-like scenario in which subjects built a toy model of a motorbike. We considered 20 object classes which include the 16 classes categorizing the 49 components, the two tools (screwdriver and wrench), the instructions booklet and a partial_model class.Additional details related to the MECCANO: 20 different subjects in 2 countries (IT, U.K.) Video Acquisition: 1920x1080 at 12.00 fps 11 training videos and 9 validation/test videos 8857 video segments temporally annotated indicating the verbs which describe the actions performed 64349 active objects annotated with bounding boxes 12 verb classes, 20 objects classes and 61 action classes

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IPLab, Department of Mathematics and Computer Science - University of Catania, IT
https://www.unict.it/en
Task
Object Detection
Annotation Types
Bounding Boxes
64349
Items
83
Classes
8857
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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