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| Main Authors: | , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Scientific data
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41390534/ |
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Table of Contents:
- Pomerania Fish: A dataset for fishes across Pomerania freshwater waterbodies in-situ environments. Shi, Xiaohao Czerniawski, Robert Tanwari, Kamran Furdyna, Artur Krepski, Tomasz Animals Conservation of Natural Resources Fresh Water Endangered Species Ecosystem Fishes Wetlands High-quality datasets are crucial for computer vision in endangered fish monitoring. Species similarities and dynamic environments pose challenges. The Pomeranian region, a key salmonid refuge with ongoing restoration efforts, necessitates robust monitoring to assess restoration success. To facilitate environmentally sustainable research, we introduce a dataset, Pomerania Fish (PomerFish), comprising two sub-datasets: PomerFishObj and PomerFishSeg, each with corresponding annotations. This dataset, compiled by salmonid experts, focuses on endangered Central European salmon populations. It was collected from 2015 to 2024 in the Pomerania Region, Central Europe, using a GoPro Hero 5 camera. The dataset comprises: (1) PomerFishObj, containing 14,989 high-resolution images with manually annotated bounding boxes and 3,273 negative samples (fish absence); and (2) PomerFishSeg, containing 1,115 images, including 1,038 with polygon-based segmentation masks and 77 negative samples. Characterized by high-resolution imagery, large data volume, and comprehensive habitat records beyond species, it enables training for detailed underwater observations and precise species growth estimations. This dataset supports targeted conservation and habitat management, providing crucial resources for research, species detection, and conservation practices.