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

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.