Datasets › MECCANO

MECCANO

Introduced by Francesco Ragusa et al. in The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain12 Oct 2020 archive 2025-07-28

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

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 19. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MECCANO

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections