Pomerania Fish: A dataset for fishes across Pomerania freshwater waterbodies in-situ environments

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.

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Publication Details

Journal
Scientific Data
Published
2025-12-13
DOI
https://doi.org/10.1038/s41597-025-06393-8
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Pomerania Fish: A dataset for fishes across Pomerania freshwater waterbodies in-situ environments

Artur Furdyna, Robert Czerniawski, Tomasz Krepski, Kamran Tanwari et al.
Scientific Data
Fish Ecology and Management Studies
article

Pomerania Fish: A dataset for fishes across Pomerania freshwater waterbodies in-situ environments

Artur Furdyna, Robert Czerniawski, Tomasz Krepski, Kamran Tanwari, Xiaohao Shi
article en

Abstract

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.

Scientific DataVol. 13(1)
University of Szczecin (PL), National Health Insurance Fund (RS)
Xi'an Polytechnic University
Openalex Percentile: Top 63%
Fish Ecology and Management Studies
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Pomerania Fish: A dataset for fishes across Pomerania freshwater waterbodies in-situ environments — Artur Furdyna, Robert Czerniawski, et al. · Scientific Data (2025) | TGRS Research Map | TGRS