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The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. (arXiv:2207.09295v1 [cs.CV])
July 20, 2022, 1:12 a.m. | Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
cs.CV updates on arXiv.org arxiv.org
We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for
detecting, tracking, and counting fish in sonar videos. We identify sonar
videos as a rich source of data for advancing low signal-to-noise computer
vision applications and tackling domain generalization in multiple-object
tracking (MOT) and counting. In comparison to existing MOT and counting
datasets, which are largely restricted to videos of people and vehicles in
cities, CFC is sourced from a natural-world domain where targets are not easily
resolvable …
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