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V7 Reviews & Product Details - Page 4

V7 Overview

What is V7?

V7 is a powerful AI training data platform that enables you to annotate images, videos, documents, and medical imaging files. It is the quickest way to obtain high-quality annotated data for training your computer vision models. You can utilize auto-labeling features to accelerate your annotation projects, manage your MLOps workflows, or hire professional annotators for assistance. - Pixel-perfect automatic data labeling, including AI segmentation tools and semantic masks. - Intuitive dataset, workflow, and model management for better control over your ML development pipeline. - Annotation services through official partners with expertise in niche industries. With advanced auto-labeling, quality assurance (QA), and team collaboration tools, V7 will help you reduce your data annotation time by 10x and assist you in developing more accurate AI solutions. Annotate any dataset with ease and seamlessly integrate V7 into your training data management and model development pipeline. - Create automatic pixel-level labels for instance segmentation. - Annotate lengthy videos with 100K+ frames and thousands of annotations. - Use multi-planar views and voxels for medical imaging and volumetric data. - Annotate medical file formats such as DICOM and NIfTI or whole-slide imaging. - Run your data through public ML tools, connect external models, or train your own AI in the cloud. - Scan text in any language, classify files, detect objects, and extract relevant information with AI. - Add key points and skeletons for activity recognition or pose estimation. - Assign user roles, manage access permissions, and allocate annotation tasks. You can seamlessly integrate V7 with your existing tech stack and import/export annotations with ease. Additionally, V7 empowers you to have complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI. Try out one of the best MLOps and data labeling tools for computer vision for free: https://www.v7labs.com/sign-up

V7 Details
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V7 Community
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Product Description

Automated Image Annotation and Neural Network training. V7 is the most powerful platform to automatically create ground truth to enable AIs to learn. Trusted by the likes of Merck, GE Healthcare, and Stanford, our technology speeds up the creation of visual data labels by 10x.


Seller Details
Seller
V7
Year Founded
2018
HQ Location
London, England
Twitter
@v7labs
3,253 Twitter followers
LinkedIn® Page
www.linkedin.com
87 employees on LinkedIn®

Alberto R.
AR
Overview Provided by:

Recent V7 Reviews

Sphokazi S.
SS
Sphokazi S.Mid-Market (51-1000 emp.)
5.0 out of 5
"V7"
It's easy to use as a software and navigation is easily graspable
Derek V.
DV
Derek V.Small-Business (50 or fewer emp.)
5.0 out of 5
"A brilliant concept, superby executed"
Spreadsheet tech hasn't really changed since 1979 when VisiCalc was introduced with support for formulae in spreadshset cells. V7 has changed that ...
Verified User
U
Verified UserSmall-Business (50 or fewer emp.)
4.0 out of 5
"V7 is a very good image annotation tool"
It has automatic annotation tool like SAM, and it allows you to merge the polygons, which I find very handy.
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V7 Media

V7 Demo - Video annotation Interface
Auto-annotation features
V7 Demo - Dataset Annotation Workflows
Design custom workflows with AI models, review stages, and automations
V7 Demo - Medical Annotations
Medical imaging series automatically split into axial, coronal, and sagittal views
V7 Demo - BYOM & ML Model Training
Train your AI or connect external models in minutes
V7 Demo - Consensus Stage
Create blind tests and measure the degree of overlap between annotations added by selected labelers or models.
V7 Demo - Team Collaboration Tools
Share feedback and collaborate in real-time for quicker resolution of disagreements.
Answer a few questions to help the V7 community
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53 V7 Reviews

4.8 out of 5
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53 V7 Reviews
4.8 out of 5
53 V7 Reviews
4.8 out of 5

V7 Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for V7Question

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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KM
Data Engineer
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

My absolute favorite part of using V7 is the expertise the team brings to the table. Folks at my organization are subject-matter experts that sometimes have computer literacy issues, and the V7 team is comprehensive and thoughtful in their user experience design. Review collected by and hosted on G2.com.

What do you dislike about V7?

So far, I've not experienced any downsides. I wish there were more straightforward ways to assign or reassign things for tagging, but those are merely minor feature requests. Review collected by and hosted on G2.com.

Recommendations to others considering V7:

Go with it! Highly recommend. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

We're working on training an embedded computer vision system that isn't performing as effectively as we would like. V7's tool is the annotation layer for tagging objects that need to be recognized using the device's detection system. Review collected by and hosted on G2.com.

José Sebastián G.
JG
Machine Learning Engineer
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

The user interface is really intuitive, and the reviewing cycle allows management of teams in an organized manner. Review collected by and hosted on G2.com.

What do you dislike about V7?

I would like that the smart annotating tool enable creating multiple polygons for one object with one run (without having to merge polygons) Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

We are annotating images to develop computer vision solutions in agriculture. Keeping annotators organized and supervised is the biggest benefits for our company. Review collected by and hosted on G2.com.

RM
Lead Data Engineer
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

The API is my favourite feature as it allows us to create custom wrappers and packages to optimize our annotation processes. The customer support is second-to-none with quick response times and timely bug fixes. They also regularly seek feedback and continually improve the V7 experience. The workflow management is also excellent, with plenty more features coming soon. Review collected by and hosted on G2.com.

What do you dislike about V7?

Sometimes it can be hard to find relevant documentation. The Python SDK is lacking slightly but it provides plenty of examples and the open API makes up for it. Review collected by and hosted on G2.com.

Recommendations to others considering V7:

If you are considering building your own annotation platform or looking for a solution for storing image and video annotations, I would seriously recommend getting in touch with the guys at V7. I wish I had access to a product like this in many of my previous companies! It has improved the quality and integrity of our data and makes it so much simpler to attain new annotations from experts around the world. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

Before using V7, we stored our annotations in various formats across multiple data stores. Our annotation process relied heavily on translating spreadsheets and linking up rows to external data, which led to inaccuracies and made the algorithm-development process complicated and unintuitive. Darwin provides a single-source repository in which for us to store and audit our data. We can now gather new annotations from experts in a fraction of the time it would have previously taken. Our algorithm developers now have a much flatter learning curve, with our recent hires quickly getting to grips with our data from day one. Review collected by and hosted on G2.com.

Andrea  C.
AC
Principal Scientist
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

Alberto and his team (from project managers to annotators) have been very responsive and helpful from the get-go. They were also involved with consulting with another company that is building our image capture machine/robot that would be generating the images used to train the model. The V7 platform is very intuitive, easy to use and able to handle large amount of data. Review collected by and hosted on G2.com.

What do you dislike about V7?

None I could think of, we are very happy with them. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

We are currently using different developmental stages of fruit fly avatars (mirroring mutations found in cancer patients) as a read-out for drug screens. As part of our plans for scaling up, we plan to automate the whole process of 'scoring' these phenotypes that we have had to do manually. The preliminary results we have so far have been very positive and we are very excited to finish up the pilot and get the full project started. Review collected by and hosted on G2.com.

Verified User in Biotechnology
IB
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

web interface, communications with the team. Review collected by and hosted on G2.com.

What do you dislike about V7?

Havent use the api a lot but seemed to need better documentation/instructions. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

user friendly platform doing annotations Review collected by and hosted on G2.com.

Simon R.
SR
Graduate Research Assistant
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

The V7 wesbite is super sleek, intuitive, and easy to use. Within a couple of minutes you're off to the races and can annotate quickly. The team is highly responsive and helpful. Review collected by and hosted on G2.com.

What do you dislike about V7?

The payment is on both per-use basis and per-month basis. So if we do not use the product for a month, we must pay all the same. A small price to pay though as the rates are fair! Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

We are training a neural net to recognize bubbles on gas-evolving catalysts as they have a significant effect on the reaction speeds but have not been thoroughly investigated. With V7, we gain a convenient, centralized hub to store our data and label our images. The biggest benefit of V7 we are looking forward is having them label our images for us. Review collected by and hosted on G2.com.

Verified User in Computer Software
UC
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about V7?

The interface is easy to navigate and intuitive. Support is prompt and knowledgable. The auto-annotate tool is world-class and saves substantial time for semantic pixel labeling. Review collected by and hosted on G2.com.

What do you dislike about V7?

Limited handling for video with random motion. I think you could apply some basic optical flow techniques across the whole image to provide better projection of annotations from one frame to the next. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

Scaling up labeling for datasets for an agricultural robotics application. It enables us to outsource labeling when we don't have the time to do it in house. Review collected by and hosted on G2.com.

Verified User in Information Services
AI
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about V7?

The built-in auto annotation and the ability to train an ai to handle annotations are great advantages V7 over its competitors. We used this software with dicoms of MRIs and the software was able to create very precise polygons even with little data provided. Another great advantage from a data science point of view are the multiple exportation options. Review collected by and hosted on G2.com.

What do you dislike about V7?

Pricing listed is a bit vague and the functionality with a tablet is still a bit subpar/not thought through. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

While there are many DICOM viewers on the market, only very few can actually create and export annotations used in object detection/image segmentation tasks. Of those, I think V7 is the best solution currently commercially available. Review collected by and hosted on G2.com.

Lixuan S.
LS
Lab Technician
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

James and Alberto are very hands on with the whole process and constantly providing prompt feedback and help along the way. Review collected by and hosted on G2.com.

What do you dislike about V7?

Not much complaint about V7. Still in the piloting process so support has been great. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

We're developing a model to automate a part of our pipeline. It has already shown that the end product would save us a lot of time at the current pilot stage. Review collected by and hosted on G2.com.

Verified User in Computer Software
UC
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

The V7 video annotation tool we found to be very useful. The interpolation feature allows the time per task to be cut by almost 50%. Review collected by and hosted on G2.com.

What do you dislike about V7?

You can export annotations in COCO format but it is missing skeletons. Review collected by and hosted on G2.com.

What problems is V7 solving and how is that benefiting you?

We are working with keypoint annotation for pose estimation. V7 is especially powerful for videos. Review collected by and hosted on G2.com.