Let's continue with the Segment Anything Model (SAM).

After acquiring the model, we couldn't resist testing how much SAM boosts the annotation process.  We tested SAM and were amazed by the results as it not only drastically reduces the time needed for annotation but also improves the accuracy of annotations.

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To showcase our findings, we've created a video where we present the benchmarking results of the SAM. We're excited to share it with and encourage you to try SAM in your own projects.

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And you? Did you already try to annotate with SAM? Were your results the same as ours or different? Show us your result in one of the following networks:

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‍Discord

LinkedIn

Gitter

GitHub

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