Tassie BRUV: A benchmark data set for computer vision and movement quantification algorithms
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The Tassie BRUV dataset is an image dataset that we generated as a benchmark dataset using Baited Remote Underwater Videos (BRUVs) from chain moorings and environmentally friendly moorings in Tasmania. These videos were collected by CSIRO and OzFish volunteers as part of a separate study to observe if there are differences in the community abundance of fish species between chain and environmentally friendly moorings in this area. This dataset can be used to benchmark computer vision techniques, and, in conjunction with the surrounding video footage, techniques that include movement information.
, , , # Tassie BRUV: A benchmark data set for computer vision and movement quantification algorithms
Dataset DOI: [10.5061/dryad.sbcc2frf7](10.5061/dryad.sbcc2frf7)
The Tassie BRUV dataset is an image dataset that we generated as a benchmark dataset using Baited Remote Underwater Videos (BRUVs) from chain moorings and environmentally friendly moorings in Tasmania. This data set is used in the paper \"The Motion Picture: Leveraging Movement to Enhance AI Object Detection in Ecology\", published in Ecology and Evolution. These videos were collected by CSIRO and OzFish volunteers as part of a separate study to observe if there are differences in the community abundance of fish species between chain and environmentally friendly moorings in this area. This dataset can be used to benchmark computer vision techniques, and, in conjunction with the surrounding video footage, techniques that include movement information. For code to fit such models, refer to [https://github.com/BenMaslen/MCD](https://g...,
创建时间：
2025-10-29
