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COMPASS-XP

<p>COMPASS-XP&nbsp;is a dataset of matched photographic and X-ray images of single objects, made available for use in Machine Learning &amp; Computer Vision research, in particular in the context of transport security. Objects are imaged in multiple poses, and accompanied by metadata including labels for whether we consider the object to be&nbsp;dangerous&nbsp;in the context of aviation. Object classes overlap with those in the popular&nbsp;<a href="http://image-net.org/challenges/LSVRC/">ImageNet Large Scale Visual Recognition Challenge</a>&nbsp;class set and the&nbsp;<a href="https://wordnet.princeton.edu">WordNet</a> lexical database, and identifiers for shared classes in both schemes are also provided.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4