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

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.

Methods
The raw data is videos in .avi format, recorded with a Avtech AVH8516 Network Video Recorder (NVR) connected to a 2 megapixel IP camera (Avtech AVM543P) operating at 25 frames per second (FPS). From the videos, single frames have been picked out and annotated with bounding boxes with three classes: adult bird (0), chick (1) and egg (2). Using these annotations, a YOLOv5 model has been trained. The videos have then been downsampled to 1 FPS and Object detection has been run on the whole material, and the output has been stored in a SQLite database coordinates for each detected object.