You can now use the Meta Segment Anything Model (SAM) for faster image detection with Label Studio, the most popular open source data labeling platform for ML and AI, thanks to a contribution from our community.

Read more in the blog post https://labelstud.io/blog/exploring-t...

More efficient image annotation is just one perk to the SAM. This tool can also be employed for fine-tuning tasks, video segmentation, or extracting captions based on the objects detected within the images. With the ongoing development of both the SAM and the Label Studio SAM integration, we can expect further improvements and developments along the way. The model's versatility and ease of integration make it a valuable addition to Label Studio.

The SAM integration is an official component of the Label Studio ML Backend. If you’re interested in using computer vision models for data labeling and want to try it out on your own, head over to the LabelStud.io Integrations Directory and look for the Segment Anything Model. If you’re new to Label Studio and are looking for a way to get started, read the “Zero to One with Label Studio” tutorial and follow on with the “Introduction to Machine Learning” tutorial.