I use this powerful annotation tool for SEM microscopy image annotation. I like the extensive support of prelabelling through foundation models or custom models via API. I use quality tools for reviewing, like quality reports and create issues with a review mode. The ui is nice and there are helpful shortcuts. It is worth the money. Performance is fine, but could be improved and there is the cvat documentation available online, it could be slightly improved as well.

I appreciate that their team is available and feels humble, genuinely looking to satisfy customers, and it's not complicated to get help. I also like their human approach. I love that they have student prices, making it accessible. The tool is user-friendly and easy to understand, even before reading their documentation, which makes it approachable. I also love the many options available to work with complementary tools like Segment Anything.

What I particularly appreciate about CVAT is the ability to collaborate effectively with a team during the annotation phases; the platform really facilitates working together on the same AI project. The management of annotation classes is clear and well thought out, and the tool is generally smooth to use on a daily basis. Another strong point: the ability to import an already annotated dataset as a starting point, which allows you to gradually enrich your training data without starting from scratch. This is a considerable time saver in ML pipelines.