mbari-org/sdcat
Sliced Detection and Clustering Analysis Toolkit - a tool to quickly find and cluster salient objects in your images for accelerated labeling
This tool helps scientists and researchers analyze large collections of images, particularly from underwater or aerial surveys, to quickly find and group interesting objects. You provide your image datasets, and it outputs detected objects within those images, clustered into categories, along with a summary of these findings. It is designed for researchers or data analysts who need to efficiently identify and categorize visual data for further study or to build training datasets.
Use this if you have many images, like those from oceanographic or UAV surveys, and you need an automated way to spot specific features or organisms and group similar ones together without manually sifting through every image.
Not ideal if you only have a few images or if you require extremely precise, human-verified annotations for every single object in your dataset.
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Python
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Last pushed
Mar 19, 2026
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