Urgent.News

What's breaking now, across thousands of outlets.

AI

A promptable foundation model enables automated multi-task dataset construction and real-time pose estimation in mice

Behavioural experiments often hinge on moments when animals crowd together. In these situations, existing pose-estimation methods usually fail because detected crops include neighbouring animals, and their body parts are easily confused between individuals. We solved it with DeepLabSAM, a pipeline that segments and tracks every animal from a single text prompt using the SAM 3 foundation model,…

We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.

Read the original at biorxiv.org →

More in AI

More from Thursday 8 October →