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CorentinDumery/MixCount

The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting Corentin Dumery* · Niki Amini-Naieni* · Shervin Naini · Pascal Fua EPFL · University of Oxford · Northwestern University · (* equal contribution) MixCount is a large-scale synthetic dataset for mixed-object, open-vocabulary counting, the setting that dominates industrial inspection and sorting, but breaks current counting models. Our automatic generation pipeline… See the full description on the dataset page: https://huggingface.co/datasets/CorentinDumery/MixCount.

Author / organizationCorentinDumery
License (as declared)cc-by-4.0
Downloads506 (as reported by Hugging Face)
Likes9
Created18 May 2026
Last updated at source5 July 2026
countingsyntheticcomputer-visionopen-vocabularysegmentation
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