2026-10-12T16:33:18Z https://www.scidb.cn/oai

10.57760/sciencedb.41102 2026-06-25T11:04:26Z

2026-06-25 TigerPufferDetect doi:10.57760/sciencedb.41102 en TigerPufferDetect is a dual-view image dataset for Takifugu rubripes detection in real industrial aquaculture environments. The released dataset contains 1,600 original JPG images collected from a real aquaculture factory, including 1,000 above-water images and 600 underwater images. Each visible fish instance is manually annotated with a bounding box in XML format and assigned the category label ``fish''. The above-water images capture dense fish distributions and body overlap near the water surface, while the underwater images include challenging visual conditions such as turbidity, greenish color cast, light attenuation, motion blur, and background interference. This dataset is designed to support research on fish detection, counting, and visual monitoring in smart aquaculture. Takifugu rubripes; Object Detection; underwater and above-water Jinsong Yang Wentian Xie Zeyuan Hu Linlin Shen Ya-Nan Zhang Yue Wang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank