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Common guillemots in the Baltic Sea studied with video surveillance and object detection: raw data, annotations, model, and model outputs

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Sep 06, 2022 version files 2.83 GB
Dec 16, 2022 version files 11.84 GB

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Abstract

The data comes from common guillemots studied at Stora Karlsö, Sweden between 2019 and 2021. The common guillemots breed at an artificial cliff, and has been filmed continusly from above over three breeding seasons. Using the video material, a YOLOv5 model has been trained to detect adult birds, chicks and eggs. The dataset contains annotations (bounding boxes) used for training the model, the model itself, and outputs from the model (object detections).

The data can be used and shared freely.