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V7 Reviews & Product Details - Page 5

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

The skeleton annotation tool is handy, and it is easy to upload pre-annotations. The onboarding and customer experience were excellent! Review collected by and hosted on G2.com.

What do you dislike about V7?

The lack of visibility when spelling mistakes are made in the skeleton classes. It was not clear that I had made an error. My fault, of course, but had to ask V7 for help which they promptly gave! Review collected by and hosted on G2.com.

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

Solving skeleton tracking problems. Benefits being easy uploading/exporting of annotations, quick annotating with the skeleton tool, and subpixel accurate annotations. Review collected by and hosted on G2.com.

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

Very easy to use and saves a lot of time Review collected by and hosted on G2.com.

What do you dislike about V7?

Althoug they have a trial access for people who are interested to use their service, they unfortunately do not provide any plans for academic students purposes Review collected by and hosted on G2.com.

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

Saved a lot of time annotating my datasets and the stress I have avoided could be estimated weeks of suffering Review collected by and hosted on G2.com.

Benno W.
BW
Data Engineer
More Options
Validated Reviewer
Review source: Organic
What do you like best about V7?

flexible UI and API; responsive support; active development of new features and bug fixes Review collected by and hosted on G2.com.

What do you dislike about V7?

pricing scheme is subject to change but overall fairly reasonable compared to compeditors.

Working with large datasets is sometimes a struggle but has improved over the last couple of months.

External labelling services experience could be improved by making the process more automated with fewer interaction of the customer. e.g. purely webbased assignment of tasks Review collected by and hosted on G2.com.

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

Image annotation, dataset management Review collected by and hosted on G2.com.

Basil E.
BE
Motor engineer
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: Organic
What do you like best about V7?

I love the things we can do with V7

Downside doesn’t recognize hidden d damage Review collected by and hosted on G2.com.

What do you dislike about V7?

we should be able to say replace panel along with distortion Review collected by and hosted on G2.com.

Recommendations to others considering V7:

add more information we currently have cracks, dents distortions, rust , Outwood dents Review collected by and hosted on G2.com.

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

Recognizing dents to distortions panel and identifying cracks from chips class Review collected by and hosted on G2.com.

Nathan S.
NS
Founder & CEO
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 labeling automation is the best around Review collected by and hosted on G2.com.

What do you dislike about V7?

Nothing yet. It's been working great so far. Review collected by and hosted on G2.com.

Recommendations to others considering V7:

Start with a trial and test out the autoannotate tools Review collected by and hosted on G2.com.

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

V7 is helping us manage a complicated, intricate, pixel-perfect labeling exercise Review collected by and hosted on G2.com.

Seby J.
SJ
Computer Vision Engineer
More Options
Validated Reviewer
Review source: Organic
What do you like best about V7?

I like the platform and the command line. Review collected by and hosted on G2.com.

What do you dislike about V7?

I do not have any dislikes about v7 yet. Review collected by and hosted on G2.com.

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

We are solving automatic labeling task deployments and re-training. The v7 platform has helped us review labels and restart faulty workflows (if any) extremely easily with little to no hassle. Review collected by and hosted on G2.com.

Verified User in Computer & Network Security
AC
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?

It speeds up annotation. And it is really easy to get started Review collected by and hosted on G2.com.

What do you dislike about V7?

I haven't had a negative experience as of yet Review collected by and hosted on G2.com.

Recommendations to others considering V7:

Its does everything from image annotation to modeling Review collected by and hosted on G2.com.

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

The annotation of agricultural animals and foods Review collected by and hosted on G2.com.

Verified User in Research
UR
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

Their AI based auto-annotator tool, model training on cloud and annotation workflow part. Review collected by and hosted on G2.com.

What do you dislike about V7?

Not much. It gives a very wholesome annotation experience. Review collected by and hosted on G2.com.

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

Semantic Segmentation on image data. Rocks, Biomedical cell data etc. Review collected by and hosted on G2.com.

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

The boundaries are detected even on low resolution images Review collected by and hosted on G2.com.

What do you dislike about V7?

The eraser tool can be improved. Overall good experience with eraser tool as well Review collected by and hosted on G2.com.

Recommendations to others considering V7:

This is a trend setter in its field ! They provide a demo and a trial period. You should not doubt and definitely go for it Review collected by and hosted on G2.com.

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

We are trying to create annotated data. The tool is immensely helpful for us Review collected by and hosted on G2.com.

Verified User in Health, Wellness and Fitness
AH
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about V7?

Customer servise, Intuitive UI, Constant upgrades, new features Review collected by and hosted on G2.com.

What do you dislike about V7?

Large jump between Small and Medium pricing Review collected by and hosted on G2.com.

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

We're building AI for dental images. Review collected by and hosted on G2.com.