Omschrijving
The multi-modal IndustReal dataset, accompanying our publication "IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting". Check out our GitHub for additional details and read-me files. Unlike currently available datasets, IndustReal contains procedural errors (such as omissions) as well as execution errors. A significant part of these errors are exclusively present in the validation and test sets, making IndustReal suitable to evaluate robustness of algorithms to new, unseen mistakes. Additionally, to encourage reproducibility and allow for scalable approaches trained on synthetic data, the 3D models of all parts are publicly available.
| Datum van beschikbaarheid | 23 aug. 2024 |
|---|---|
| Uitgever | 4TU.Centre for Research Data |
Onderzoekersoutput
- 1 Conferentiebijdrage
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IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Schoonbeek, T. J., Houben, T., Onvlee, H., de With, P. H. N. & van der Sommen, F., 9 apr. 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers, blz. 4353-4362 10 blz. 10484389Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
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