V7 Reviews & Product Details

Spreadsheet tech hasn't really changed since 1979 when VisiCalc was introduced with support for formulae in spreadshset cells. V7 has changed that - having an LLM running inside each cell and allowing cells to contain rich content like handwritten documents or scanned paperwork is a huge game changer! Review collected by and hosted on G2.com.

I only dislike that they didn't invent this 20 years ago Review collected by and hosted on G2.com.

It's easy to use as a software and navigation is easily graspable Review collected by and hosted on G2.com.

The software doesn't allow a person to retract a submission of an annotation Review collected by and hosted on G2.com.

It has automatic annotation tool like SAM, and it allows you to merge the polygons, which I find very handy. Review collected by and hosted on G2.com.

I would like to see a feature that allows me to split an existing polygon into multiple new polygons. Also, V7 does not allow file/folder manipulation on their website (like the operations supported by Google drive), which I find inconvenient. Review collected by and hosted on G2.com.

One of the best things about this tool is its user-friendly data annotation feature. Thanks to the auto-annotation features, I could label my dataset with ease, even for the most complex objects. The tool even allows for the annotation of polygon shapes, which was a massive help for me. Review collected by and hosted on G2.com.

I want more export options for my dataset, such that it supports a wide range of formats. I encountered this issue with the instance segmentation format for YOLO. Moreover, I would prefer the dataset hosted directly in the colab notebook, just like Roboflow datasets can be accessed. Review collected by and hosted on G2.com.

After several tries trying out various tools to annotate my data, I stumbled on V7 and immediately realised that V7 had exactly what I needed. My datasets have a lot of similar images and V7's copy annotations feature helps save a ton of time and allows me to work through my datasets swiftly. Furthermore, I never knew I needed the image manipulation options that V7 provides until I used it. It allowed me to completely isolate my items from the noise for more accurate annotations.

Also, V7's UI looks amazing and is incredibly simple to use. There's no learning curve. Review collected by and hosted on G2.com.

No complaints so far, as I haven't encountered any features that I dislike. Everything is straightforward to use, and I haven't encountered any bugs while using V7 either. Review collected by and hosted on G2.com.

I am using v7 labs AI tool for my research on Computer Vision. Especially for annotating data and training CV models. I must say that V7 is the most innovative and amazing tool in this category. I am fascinated by this platform's features, from annotating datasets to training and deploying. It's really wonderful to have all these managed wonderful features. The data annotation tool on the platform is extremely powerful, well-featured, and easy to use. I can now label my dataset in a few clicks, even the most complex objects with amazing auto-annotation features, even for polygon shapes. I also tried 3d annotation of objects in the image using a cuboid tool that it provides, and it's fantastic. I really recommend v7 labs to everyone who is Computer Vision Pro and wants to annotate and build efficient and accurate computer vision models and manage the whole pipeline/workflow. Thank you, v7 labs team for such a great platform. Review collected by and hosted on G2.com.

There is nothing that I dislike so far. All features are really amazing. Review collected by and hosted on G2.com.

Web-based annotation tools including model-assisted polygon annotation are among the best I have tried. I appreciate that they provide the option of hosting models for companies getting started with this technology. Pricing seems fair for what they are providing. Review collected by and hosted on G2.com.

In my first week using the service I have had no problems with it. I have given them a few recommendations that might streamline the navigation of datasets, and that feedback was welcome and encouraged. Review collected by and hosted on G2.com.

Very user friendly platform wich alows for easy annotation and moving on with projects Review collected by and hosted on G2.com.

Not much things to dislike so far, would love to be able to use lines in the consensus stage. Review collected by and hosted on G2.com.

Annotation class shortcuts, tool shortcuts, menu for filtering type/workflow stages (especially the "dont include") Review collected by and hosted on G2.com.

Missing a shortcut for approving annotations in review (could be I've just not found it) Review collected by and hosted on G2.com.

What I appreciate most about using V7 Darwin's diverse variety of annotation tools is it is fast, simple, and functional. The experience has been smooth and hassle-free; the subtract and merge tools are beneficial for pixel-perfect labeling, which is a tremendous advantage and something I've never seen before. It also offers an easy-to-navigate user interface. V7's navigation is a joy to work with. Work is made easier and faster to complete, which increases production. Compared to other platforms, the V7 tools are excellent and easy to use. To make things even easier, the features are clearly labeled. In terms of cutting down on work time, they have the easiest shortcuts. It makes tagging and annotating a lot faster and makes me more efficient. Review collected by and hosted on G2.com.

The platform works without trouble, the work is quickly saved, and it is easy to recover it. As a result, there is not much lag or freezing of the platform during use. Review collected by and hosted on G2.com.