AI RESEARCH
Colony Grounded SAM2: Zero-shot detection and segmentation of bacterial colonies using foundation models
arXiv CS.CV
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ArXi:2603.13393v1 Announce Type: new The detection and classification of bacterial colonies in images of agar-plates is important in microbiology, but is hindered by the lack of labeled datasets. Therefore, we propose Colony Grounded SAM2, a zero-shot inference pipeline to detect and segment bacterial colonies in multiple settings without any further