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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:

Source: Hugging Face Hub (CorentinDumery/MixCount). Metadata imported from the dataset’s Hub tags.

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