Classic 20-class detection and segmentation benchmark — still a default for quick experiments.
Browse commercial Computer Vision → Visit original source ↗Pascal VOC 2012 is the final release of the classic Visual Object Classes challenge from Oxford and partners. 11,530 images with 27,450 ROI annotations across 20 object classes, plus 6,929 segmentation masks. Smaller than modern benchmarks, but extremely well-documented and still widely used for teaching and baseline comparison.
LQS is our 7-dimension quality score, computed from the dataset's published statistics. See methodology →
Composite score computed from the 7 dimensions below: completeness, uniqueness, validation health, size adequacy, format compliance, label density, and class balance.
Common tasks and benchmarks where Pascal VOC 2012 is the default or competitive choice.
What's actually in the dataset — from the maintainer's published stats.
Pascal VOC 2012 is distributed under Flickr Terms (permissive for research). This is a third-party public dataset; LabelSets indexes and scores it but does not host or redistribute the data. Always verify current license terms with the maintainer before commercial use.
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Other entries in the Computer Vision catalog.