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title
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Micahel A. Hobley, Victor A. Prisacariu
updated
2026-02-20 07:04:47
raw text
Multi-Class Few-Shot Counting Dataset MCAC: A Multi-Class Class-Agnostic Counting Dataset Michael A. Hobley , Victor A. Prisacariu University of Oxford Paper Download Method MCAC MCAC Example . Each object in the RGB image has an associated: Model ID, Class ID, Center Coordinate, Bounding Box and Occlusion Percentage. More examples can be seen here. MCAC is the first multi-class class-agnostic counting dataset. each image contains between 1 and 4 classes of object and between 1 and 300 objects per class. The classes of objects present in the Train, Test and Val splits are mutually exclusive, and where possible aligned with the class splits in FSC-133 . Each object is labeled with an instance, class and model number as well as its center coordinate, bounding box coordinates and its percentage occlusion Models are taken from ShapeNetSem . The original model IDs and manually ...
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