Dataset Groups Activity Stream MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior A large-scale, multi-agent video and trajectory benchmark to assess the quality of learned behavior representations. BibTex: @dataset{Kristin_Branson_and_Alice_Robie_and_Catherine_Schretter_2024, abstract = {A large-scale, multi-agent video and trajectory benchmark to assess the quality of learned behavior representations.}, author = {Kristin Branson and Alice Robie and Catherine Schretter}, doi = {10.57702/ikj1y17l}, institution = {No Organization}, keyword = {'behavioral analysis', 'computer vision', 'machine learning', 'trajectory analysis', 'video analysis'}, month = {dec}, publisher = {TIB}, title = {MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior}, url = {https://service.tib.eu/ldmservice/dataset/mabe22--a-multi-species-multi-task-benchmark-for-learned-representations-of-behavior}, year = {2024} }
