Abrams et al., 2020 (https://doi.org/10.1101/2020.11.21.392720). This dataset contains the raw videos analyzed and quantified for generating Figure 5 and the associated supplementary figures. See the source file Drosophila Data.xls for magnification information.

Our Fly-vs-Fly dataset contains 22 hours of video showing pairs of fruit flies engaging in 10 social interactions in three different contexts; it is fully annotated by experts,and published with articulated pose trajectory features. The dataset is organized into three sub-datasets: Boy meets boy, which is designed to study the sequence of action...

Real-world behavior is often shaped by complex interactions between multiple agents. To scalably study multi-agent behavior, advances in unsupervised and self-supervised learning have enabled many different behavioral representations to be learned from trajectory data. However, such representation learning approaches are generally evaluated on s...

Please cite the following paper if you find the dataset useful: https://arxiv.org/abs/2207.10553 We introduce MABe22, a large-scale, multi-agent video and trajectory benchmark to assess the quality of learned behavior representations. This dataset is collected from a variety of biology experiments, and includes triplets of interacting mice (4.7 ...