mahobley/MCAC
Multi-Class Class-Agnostic Counting Dataset **Project Page | ArXiv | Download ** Michael Hobley, Victor Adrian Prisacariu. Active Vision Lab (AVL), University of Oxford. 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.… See the full description on the dataset page: https://huggingface.co/datasets/mahobley/MCAC.
| Author / organization | mahobley |
|---|---|
| License (as declared) | mit |
| Downloads | 147 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 November 2024 |
| Last updated at source | 4 November 2024 |
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- 17 Oct 2026 Description: Multi-Class Class-Agnostic Counting Dataset **Project Page | ArXiv | Download ** Michael Hobley, Victor Adrian Prisacariu. Active Vision Lab (AVL), University of Oxford. MCAC is the first multi-class class-agnostic counting dataset. each im → Multi-Class Class-Agnostic Counting Dataset **Project Page | ArXiv | Download ** Michael Hobley, Victor Adrian Prisacariu. Active Vision Lab (AVL), University of Oxford. MCAC is the first multi-class class-agnostic counting dataset. each im
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