This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.
Today marks the beginning of a new chapter in posture analysis for behavioral phenotyping. Mackenzie Mathis' laboratory at EPFL publishes aarticle describing a particularly effective new open-source tool that requires no human annotations to get the model to track animals.
"Here, we have developed an algorithm capable of compiling a large set of annotations across databases and train the model to learn a harmonized language -- we call this pre-training the foundation model," explains Shaokai Ye, a PhD student researcher and first author of the study."Then users can simply deploy our base model or fine-tune it on their own data, allowing for further customization if needed.