A good tool for MV annotation projects and development. Pricing is also affordable Review collected by and hosted on G2.com.

Maybe there should be more foundation models available, along with a “single-shot” annotation option, so only a few images are needed instead of thousands. Review collected by and hosted on G2.com.

Comprehensive set of annotation tools, good exports, Segment Anything integration Review collected by and hosted on G2.com.

The workflows can be a bit confusing, especially when it comes to the project and task hierarchies. Review collected by and hosted on G2.com.

CVAT is easy to use, and it does a great job of supporting the setup and management of multi-user teams. Review collected by and hosted on G2.com.

We found that, for the small datasets we work with, we could reduce costs by integrating the self-hosted version instead of using the shared, cloud-based option. Review collected by and hosted on G2.com.

Working with the professional CVAT team was a great experience. They combined high speed with good quality, and whenever they had any doubts, they asked questions so we could move forward together. Their website was also very convenient and effective for reviewing work. Overall, it was a very positive experience. Review collected by and hosted on G2.com.

One minor challenge was that in some complex cases, it seemed like the data might have been labeled with slightly different approaches — possibly by different annotators or through a mix of manual and automated labeling. However, once we provided feedback, the team was quick to make the necessary corrections to preserve consistency in our dataset. Review collected by and hosted on G2.com.

Easy to use toool and user friendly

Tools Review collected by and hosted on G2.com.

Can become slow when handling:

Very large video files

Thousands of images Review collected by and hosted on G2.com.

As a company, we're using CVAT platform for annotations. Also we received the annotation service. It was a very good experience for us. All images annotated and handed over to us smoothly. Review collected by and hosted on G2.com.

Everything is in high quality. We didn't have any issues with both annotation service and platform itself. Review collected by and hosted on G2.com.

The CVAT team was very responsive and took into account our feedback over multiple iterations of reviewing the annotation work that they did for us. The quality of the annotations was excellent. Review collected by and hosted on G2.com.

There was nothing strikingly negative about CVAT. If using the user interface it might take some back and forth to get used to it, but most things we needed were there. Review collected by and hosted on G2.com.

The best Cvat.ai does is that it has many annotation options that works with different Computer vision algorithms. Boxed, polygon and even Segmentation annotations are possible. They have few Pretrained models to select and annotated based on them, or we could upload our custom pre trained computer vision model and annotation based on the already annotated dataset. Very helpful tool if you want work on custom models as well. Review collected by and hosted on G2.com.

Intially it can be little time consuming to figure out, how you uoload the data and start annotation. Not beginner friendly. Review collected by and hosted on G2.com.

What I like best about CVAT.ai is its intuitive interface and versatile annotation tools, which make it easy for students to handle data labeling efficiently. The platform’s collaborative features are also a big plus for group projects, helping streamline teamwork and improve productivity in the lab. Review collected by and hosted on G2.com.

One downside of CVAT.ai is its interface can be a bit complex for beginners. The array of features might be overwhelming, making it harder for new users to get started efficiently. Also, it can be slow when handling very large datasets, which can interrupt the workflow. Review collected by and hosted on G2.com.

I want to share my outstanding experience using CVAT.AI services for my medical imaging thesis! 🏥

Key highlights:

- Seamless integration with Google Cloud API for efficient CT scan image upload and hierarchical organization.

- Intuitive annotation tools that facilitated smooth collaboration with our radiologist team.

- Robust platform supporting professional medical image annotation workflows.

- Flexible annotation export capabilities that seamlessly integrated with our development pipeline.

Special thanks to CVAT.AI

co-founder Nikita Manovich for providing exceptional personal support when I encountered technical challenges. Review collected by and hosted on G2.com.

missing support for "large" images where each pixel is 16 bit. Review collected by and hosted on G2.com.