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.

Initially it can be a little time-consuming to figure out how you upload 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.

Due to its simplicity and flexibility, it is possible to recommend CVAT for image and video annotation. Again the organization features, the UI/UX which was developed from the feedback of the professional annotators, its easy and efficient for big projects. Review collected by and hosted on G2.com.

It is quite easy to get lost especially for the beginners, and some of the functions might make you dizzy especially to those who are conversant. However, the fact that the files contain detailed information will offset this problem. Review collected by and hosted on G2.com.

Set of features that beats most of other platforms. Clear documentation. Versatility- you can set it up in various ways- in prems, locally, in cloud and even hosted by CVAT.ai. Compelling list of features: all annotation styles you can imagine- AABB, OBB, masks, points, lines, polygons. And you can get it for free if you're budget tight, and pro version if you have the resources, enjoying both worlds. Great support and documentation, you may not find in commercial tools. Review collected by and hosted on G2.com.

Well, it can be overwhelming - so many options, so many choices. But that is the price of versatility. Review collected by and hosted on G2.com.

They were very open and flexible to our requirements, a quite complex semantic segmentation of bio images. The annotation speed was amazing. The quality was also very good. Review collected by and hosted on G2.com.

Nothing special to mention. It may have taken some time to master the tool, reasonable anyway. Review collected by and hosted on G2.com.

Easy interface

Collaboration with others

Versatility in annotating the images

We can use pre trained models to annotate images

And it is open source Review collected by and hosted on G2.com.

Compared to others it might not have advanced features in automation

Integrating custom models might need more learning

There will be some limitations in terms of storage , and all in free version

There will be some lag Review collected by and hosted on G2.com.

I found the platform highly intuitive and efficient for labeling and managing large datasets. Its user-friendly interface and the range of tools available made the annotation process smooth and streamlined, greatly enhancing productivity. Review collected by and hosted on G2.com.

I would recommend to make their UI design more modern. Review collected by and hosted on G2.com.

I like CVAT.ai’s intuitive interface and its powerful annotation tools that streamline the labeling process for machine learning projects Review collected by and hosted on G2.com.

I dislike that CVAT.ai can be resource-intensive, sometimes causing performance issues on less powerful hardware Review collected by and hosted on G2.com.

CVAT is a good tool for image annotation; it also provides labeling support for textual data. It helped me with image segmentation for an AI project. Implementation is easy. Customer support is average. Review collected by and hosted on G2.com.

While annotating images, some shortcut keys need improvement. They should add multiple output file support. Integration of data is quite difficult. I am not using it frequently as other tools are easier to use for other tasks. Review collected by and hosted on G2.com.