FishDet-M: A Unified Benchmark for Underwater Fish Detection with CLIP-Guided Model Selection

FishDet-M is a unified large-scale benchmark for fish detection in underwater imagery. The dataset comprises 13 publicly available datasets spanning diverse aquatic environments including marine, brackish, occluded, and aquarium scenes. All data are harmonized using COCO-style annotations with bounding boxes. This dataset accompanies the paper "FishDet-M: A Unified Large-Scale Benchmark for Robust Fish Detection and CLIP-Guided Model Selection in Diverse Aquatic Visual Domains" (arXiv:2507.17859).