Segments.ai is very accurate, even for complex images. Also Segments.ai is very fast, even for large images. The software can process images quickly and efficiently. Review collected by and hosted on G2.com.

Segments.ai can have a steep learning curve, especially for users who are not familiar with image annotation software. The documentation for Segments.ai is a little lacking. For example, there is no documentation on how to use the software for machine learning tasks. Review collected by and hosted on G2.com.

With the help of Segments.ai you can easily label your images with appropriate class. As we know that labelling is a time consuming process and Segments.ai solves this problem very easily. It has an amazing python SDK which makes your life too easy by providing the facility of downloading the images and segmentation bitmaps. Their support team is very helpful and quick with response so that you can smoothly done your work. Review collected by and hosted on G2.com.

I think there is nothing what I dislike about Segments.ai. It us bery helpful the only thing they have to imprive is that please ad some more documentation data. Review collected by and hosted on G2.com.

I like that the software provides different levels of coarseness for the segmentation, helping the user to catch small details or big objects at once without the need to restart it. It is also easy to correct the segments whenever small parts are wrongly assigned to them, using the coarseness level or just doing it by hand. Review collected by and hosted on G2.com.

I think there is still room for improvement when segmenting 3D inputs, especially large ones that sometimes make the software slow. But considering the difficulty of labeling such type of data, segments.ai is still very useful and a promising way to reduce the required effort. Review collected by and hosted on G2.com.

The ease of using the editor to label my dataset, as dataset creator, segment.ai was a super helpful to label my dataset for panoptic segmentation Review collected by and hosted on G2.com.

maybe when you have multiple objects, switching between labeling the objects is a bit hard Review collected by and hosted on G2.com.

My team was on the lookout for a tool to help us verify our 3D data algorithms, and was excited to see that segments.ai had a feature to overlay 3D point clouds with 2D images. This proved very useful at giving labellers context for what they were looking at in 3D, especially in noisy shots.

Another feature that was very useful for us was the ability to visualise intensity point cloud, which was missing from several other platforms that we researched. Being able to visualise the intensity data well was critical for interpreting our point cloud meaningfully. Segments.ai a range of nice visualisation options such as point size and colour pallets, for us to toggle as we liked.

Finally, the 3D label features were very handy. The configuration option to generate bounding boxes at pre-set object sizes was useful for us as we were working with a single object of known size. The interpolation between frames for point cloud sequences was also great, auto-generating estimated bounding boxes for subsequent frames after the first manual label. These features saved us a lot of time.

Excellent labelling platform, especially for 3D data. Review collected by and hosted on G2.com.

Some features had a handful of development holes, such as options missing from configs or just missing from documentation. Also a handful of bugs were noticed by my team, but the segments.ai team were extremely responsive at fixing these when they were reported. Overall the platform seemed at the level of development that things aren't always perfect, but problems resolved themselves quickly enough to not pose a major issue. Review collected by and hosted on G2.com.

The best thing that I like about it is the ability to label and process high quality images with a lot of different varieties, fast and with proper class. It makes the work much faster and easier for us. Review collected by and hosted on G2.com.

As of now I didn't face any issue in my work that could lead to disliking this amazing tool. Review collected by and hosted on G2.com.

The tool is very easy to use. It is easy to upload data sets, label large spaces with the superpixel tool, and then clean it up with the paint tool. Hotkeys to toggle overlays and switch between labels. Pretty intuitive features, and the developers are very open to questions Review collected by and hosted on G2.com.

The auto segment tool currently doesn't work that well (at least what I've been trying to use it for) however the feature is in beta and still being worked on. Review collected by and hosted on G2.com.

It's much easier to work with than the programs we used previously for labeling. Much more user friendly, much better design, and getting things done efficiently. Review collected by and hosted on G2.com.

For me, the only thing that I would improve is to move the segments.ai platform to a pc program. I think that the performances could get even better than they are now. Review collected by and hosted on G2.com.

Since labelling should be the most fastest function of any manufacturing process, Segments.ai is working to be the best labelling platform for autonomous vehicles and robotics. Review collected by and hosted on G2.com.

The platform provided by the segments.ai can be difficult for people to understand for the first time but in the long run this can be very good option to optimise any work process. Review collected by and hosted on G2.com.

It aided in my analysis by allowing me to divide an image into various regions or parts, frequently according to the traits of the image's pixels.simply amazing Review collected by and hosted on G2.com.

their is nothing to dislike about segments .ai Review collected by and hosted on G2.com.