Video Data - Fish Species

Icelandic River Fish Counter Video Dataset Abstract This dataset contains 9,333 underwater video recordings from automated fish counters deployed in three Icelandic rivers (Krossá, Laxá in Leirársveit, and Selá) between 2018-2022. Videos were captured using Vaki Riverwatcher systems with motion-triggered recording and contain three native salmonid species: Atlantic Salmon (Salmo salar), Brown/Sea Trout (Salmo trutta), and Arctic Char (Salvelinus alpinus). Each video is expert-labeled and represents controlled underwater monitoring conditions suitable for computer vision and automated species classification research. Dataset Composition Total Videos: 9,333 Species Distribution: Trout: 3,297 (35.3%) Salmon: 2,250 (24.1%) Char: 880 (9.4%) Not fish (false positives): 2,906 (31.1%) Collection Sites: Krossá, Laxá in Leirársveit, Selá rivers Time Period: 2018-2022 Technical Specifications Format: MP4 video files Resolution: Primarily 640×400, some 640×360 and 640×480 Frame Rate: Mostly 25 fps (withecpetions, e.g., few videos with 9.8 fps and 7.7 fps) Recording: Color during daylight, infrared B&W at night Trigger: Motion-activated via infrared scanner Data Quality Videos include diverse conditions: clear water, turbid water, low light, biofouling, debris, and both single and multiple fish scenarios. The high false positive detections (~31% of non-fish videos) reflects real-world monitoring challenges. All species classifications performed by expert ichthyologists at the Marine and Freshwater Research Institute of Iceland. Applications Suitable for fish species classification, underwater computer vision, automated monitoring systems, ecological research, and algorithm development for aquatic environments. Data Provider Marine and Freshwater Research Institute (MFRI), Iceland Usage Notes Each video has a single species label corresponding to the first fish that triggered the motion sensor. Videos may contain environmental artifacts and varying visibility conditions typical of real-world aquatic monitoring systems.