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V7 Reviews & Product Details - Page 2

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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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.
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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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Anthony K.
AK
Data Annotator
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

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.

What do you dislike about V7?

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.

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

We've saved a lot of time labeling data with V7 because we use it for annotations like bounding boxes and semantic segmentation. An excellent tool for adding annotations to images and videos. Review collected by and hosted on G2.com.

Desmond A.
DA
Data Specialist
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about V7?

The platform's User Interface is one of my favorite aspects of this annotation tool. Because everything you need to work with is simply accessible and the hotkeys are so nicely implemented, you'll be able to work more quickly. The icons used to symbolize each tool are clear and understandable, making it simple for users to navigate between them. When used properly, tools like polygon and polyline simplify image annotations while also improving accuracy.

I particularly like the fact that you can view the datasets that are available to you while working, so you can also choose to hide that feature so that you can focus on the tasks at hand. Review collected by and hosted on G2.com.

What do you dislike about V7?

V7's occasional tendency to lag while working with large datasets increases the amount of time you spend on the assignment. Review collected by and hosted on G2.com.

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

The brush and eraser capabilities in v7 make modifying polygon annotations so much easier than they are in other annotation platforms. Additionally, the edit and polygon tools make it easy for me to alter my polygons. Review collected by and hosted on G2.com.

HB
Data Specialist
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

Personally, I have learned a lot using V7 Darwin and we have benefitted as a company from its Annotation Tools and Interface. The UI is straightforward and the tools are clearly laid out, making the platform less difficult to understand compared to others. With just a few hours of exploration, a beginner can get used to the tools and shortcuts. At least that's how it was for me. We were tasked with labeling a very demanding project a while ago and it was thanks to Darwin's precise Polygon tool, merge/separation tools and visible time tracking on the interface, that we were able to deliver accurate-high quality labels in good time. Darwin is definitely my first choice if 'Speed and Accuracy' are the main targets. Review collected by and hosted on G2.com.

What do you dislike about V7?

Nothing bad if I'm being honest. If you could pitch in an image searching pane for users so we choose the asset we want to work on? V7 is my go-to! Review collected by and hosted on G2.com.

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

Safety netting. With the ease of V7 as a user, I am more confident in how I annotate because my dots connect and my labels come out as they should. And fast! Review collected by and hosted on G2.com.

Philip A.
PA
Data Labeling Specialist
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

I switched from Scale AI to V7 and I have been impressed with the UI.

The colorful/simple UI makes it nice to work with. The annotated dataset has a colorful view especially when you turn on the sub-annotation feature.

With video annotation, the interpolate feature is very useful, especially in the case of annotating moving vehicles, we find it makes video annotation less time-consuming.

The polygon tool with the "merge" and "subtract" feature helps to prevent labeled datasets from overlapping. In the case of labeling human beings, you can merge the same parts of a human being as a single entity when it is being occluded by an object. Review collected by and hosted on G2.com.

What do you dislike about V7?

V7 Darwin is a great platform with first-class tools. I would definitely recommend it to annotators everywhere. I do not dislike anything Review collected by and hosted on G2.com.

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

It gives the annotator a wide variety of tools to handle any form of AI/ML labeling project. The platform provides auto annotations which save time for us and make for a pleasant work experience. Review collected by and hosted on G2.com.

Bright M.
BM
Training Lead
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

QA Workflow

The ability to create different QA workflows is a feature that has helped our team a lot. We can have different levels of QA review of the same task before client delivery, this goes a long way to ensure our work is of the good quality.

Support

One of the best customer service support teams out there. They reach out and attend to issues being faced promptly, fix bugs, and are always open for feedback. Some features our team had requested were implemented, how cool is that?

The V7 Support team has been very helpful - from onboarding to data management.

Auto Annotate

V7’s auto annotate feature cannot be ruled out. It is very responsive and accurate and such has reduced the amount of time we use during annotation. One can great multiple polygons of a complex object in seconds as compared to the normal way of annotating. Review collected by and hosted on G2.com.

What do you dislike about V7?

So far so good. Nothing to dislike, except the updates that makes the platform lag. Review collected by and hosted on G2.com.

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

As a Training Lead, the convenience and ease of the platform makes the onboarding process for all annotators fast and easy! Review collected by and hosted on G2.com.

Sharon I.
SI
Q
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

I love their UI. Very user friendly. Easy panning of images that helps speed up annotation. Their shortcuts aren't limited, everything you want to do has a key for it, which makes annotation easy. Most especially, I love their label count feature and the image manipulation feature! Amazing stuff. I can confidently say it is the best UI for data annotation I have ever come across.

This feature is definitely the team's favorite and something that sets V7 apart from other labeling platforms. Annotation time reduced significantly and enabled us create multiple instances of the various tools or classes by just hitting "N"

We really like the open API. We could easily export our data and create over a thousand classes via the CLI SDK. Quite impressed with it. Made my life easy for one.

Importing and exporting data in multiple formats, including Geotiff, was a nice surprise and proved quite helpful. Review collected by and hosted on G2.com.

What do you dislike about V7?

Occasional platform lags and sign-outs is an annoyance but everything else on the platform is great. Also, the inabilty to get worker stats on a project in a more explicable format, even without exporting.

I'd recommend implementing Lidar Annotation Tools, though. It'd be a plus for you and your customers. Review collected by and hosted on G2.com.

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

I really like the QA process workflow as it allows us review annotations easier and in stages. v7 handles magnitude data which give its users an understabable view of what data one is to work on. From Admin control to Workforce Manager control Worker control, everything makes sense. The self-assigning feature is a plus for data pools Review collected by and hosted on G2.com.

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

ability to automate repetitive tasks and improve efficiency in the annotation process. It can also provide tools for quality control, such as duplicate detection and annotation consistency checks Review collected by and hosted on G2.com.

What do you dislike about V7?

the tool is not user-friendly or intuitive, making it difficult for users to navigate and utilize all of its features and thus i think the interface and help feature must be improved Review collected by and hosted on G2.com.

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

it helps solve problems related to data annotation and labelling, which can be a time-consuming and tedious task by automating and streamlining this process. Its reporting feature helps to know the progress of the team Review collected by and hosted on G2.com.

Henry Kwei Q.
HQ
Data Specialist
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

"V7 has very fast responsiveness to feedback and suggestions from its user's perspective. Communication with V7 personnel about bugs is usually very interactive. Some of my suggestions for additional features were quickly delivered and I love their response. It makes working on V7 more productive and easier.

User-friendly interface. Navigation on V7 is very user-friendly. It helps boost production as work is made easier and faster to complete. A stunning UI, so far the best I have seen.

Can't forget about the tools. Wow. I love the tools on V7. The brush is easy to use compared to other platforms. The attributes are easy to identify and select. The shortcuts are most efficient as they help shorten work time.

This feature is undeniably one of the most useful features on V7. This feature makes V7 stand out from other platforms. It helps reduce annotation time tremendously and this speeds up my labelling process. It is beyond doubt to say this is the best feature on V7." Review collected by and hosted on G2.com.

What do you dislike about V7?

"So far, so good. Nothing to dislike at the moment. Less good on NLP but this seems to be something they're building out and annotations seem to get out of image borders." Review collected by and hosted on G2.com.

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

"V7 has saved us a lot of time labelling data

We are using V7 for bounding box and semantic segmentation annotations and it helps us do more in less time.

Great platform for both image and video annotations" Review collected by and hosted on G2.com.

Roy O.
RO
Quality Assurance
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about V7?

"V7 Darwin is accurate, user-friendly and functional, a wide variety of tools make annotation relatively quick and easy.

The subtract and merge options are particularly useful for pixel-perfect labeling which is a big plus and not something I've seen elsewhere, the experience so far has been smooth with no issues. V7 is my go-to platform." Review collected by and hosted on G2.com.

What do you dislike about V7?

"Not much to say here, the platform works well with no hindrance, and the work is promptly saved and easily retrieved. No problems. The platform does not freeze and makes for a smooth experience." Review collected by and hosted on G2.com.

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

"V7 gives the annotator a wide variety of tools to handle any form of computer vision project. The platform also provides auto annotations which save time and make for a pleasant work experience." Review collected by and hosted on G2.com.

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

My company performs a lot of data labelling using multiple platforms - we choose V7 frequently for Computer Vision projects due to the ease of managing workflows and quality control stage gates, the simplicity of the UX, the auto-annotate feature - and the fact that its preferred by our annotators. They also have a fantastic and highly responsive team. Review collected by and hosted on G2.com.

What do you dislike about V7?

Not much honestly. Not as strong on NLP yet (or certain data types like LIDAR) but I expect this might be a growth area for the company, and I wouldn't be surprised if they tackle these areas with the same zeal and competency should they choose to invest in them. Review collected by and hosted on G2.com.

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

We use V7 to produce high-quality data annotation pipelines with large data sets and large teams - the platform facilitates this activity in a way that most alternatives don't come close to, in everything from the open API, UX, data security assurance, handling large volumes etc... Review collected by and hosted on G2.com.