TY - DATA
T1 - IndustReal Dataset of Egocentric Videos for Procedure Understanding
PY - 2024/08/23
AU - Tim J. Schoonbeek
AU - Tim Houben
AU - Hans Onvlee
AU - Peter H.N. de With
AU - Fons van der Sommen
UR - 
DO - 10.4121/b008dd74-020d-4ea4-a8ba-7bb60769d224.v2
KW - computer vision
KW - artificial intelligence
KW - video recognition
KW - multi-modal
KW - procedure understanding
KW - procedure step recognition
KW - action recognition
KW - object detection
KW - assembly state detection
N2 - <p>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 <a href="https://github.com/TimSchoonbeek/IndustReal" target="_blank">GitHub</a> for additional details and read-me files.</p><p><br></p><p>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.</p>
ER -