Annotated Behaviour and Observability Dataset (ABODe)

This DataShare dataset pertains to behaviour classification for group-housed mice as documented in the Thesis 'Automated Identification and Behaviour Classification for Modelling Social Dynamics in Group-Housed Mice' (2023) by Michael Camilleri. It grew out of a collaboration with the Mary Lyon Centre at MRC Harwell, with the need to automatically classify the behaviours of group-housed mice using only video recordings in the home-cage. The challenges include the multiple mice which must be tracked/identified and the level of occlusion. We provide herein an annotated dataset containing mouse videos, identities (by bounding boxes and ground-plate positions) and annotator labelling (by an expert animal care technician) of the individual behaviours. The dataset can be used to train and evaluate spatio-temporal activity localisation methods that classify the behaviour of each mouse at 1s intervals on extended videos. Further details are available at https://github.com/michael-camilleri/ABODe.