V7 VS 

Issues with Supervisely? Switch to V7!

Auto-annotate data without doing mental gymnastics. Try the most intuitive image and video annotation platform. Label your data in seconds with V7.

Maleeha Nawaz
Maleeha Nawaz
Manager of Quality and Data Curation
After conducting an extensive research of annotation tools, we chose V7 as it fits our needs best due to its customizable workflows and automated QA.
Read case study ->
Mark Robson
Mark Robson
Technical Specialist, MTC
V7 sped up our labeling 9–10x compared to VGG. The appeal of using V7 is that it's commercial off-the-shelf, very intuitive, and easy to use for non-technical people.
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Ryan Watson
Ryan Watson
Segmentation Manager at Intelligent Ultrasound
Thanks to V7, the image annotation is 30% faster, and considering also the QA process, we more than doubled the number of images we can label.
Read case study ->
Features comparison

Why world-leading AI companies choose V7 over Supervisely

Explore the features that world-leading AI companies take advantage of when building their AI products on V7.

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Image & Video Annotation
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Model Training
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Dataset Management
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ML pipeline

Build robust ML pipelines, deploy reliable AI faster

Automate labeling and gain unparalleled control of your annotation workflow. Scale your ground truth creation 10x today.

Use a model to label more data
Send edge cases back to be labeled
Collect Data
Label Data
Train Your Model
Manage Data
Deploy AI

Why should you choose V7 over Supervisely?

Create pixel-perfect annotations with one click. Train and test models online to improve their performance and accuracy.

Auto Annotate Tool

Create annotation labels and segment objects with the most accurate auto-annotation tool on the market. Complete your annotation tasks faster than ever.

Organize Your Datasets

Get started quickly with a fast and easy setup process. Import data, create classes, and assign tasks with just a few clicks.


Use Python to streamline your data processing and model training. Use a flexible CLI & REST API to create advanced pipelines that meet all your needs!

Version Control

Track changes and keep your projects organized. V7's version control features has got you covered and allow you to keep track of your training data exports.

Ultra High-Resolution Support

V7 is designed to handle even the biggest files with ease. Take on high-resolution files with confidence and annotate thousands of objects without a single worry.

SOC2, FDA & HIPAA Compliance

Meet legal industry standards and focus on your work without any hassle. You can use V7 and store your files locally to stay compliant with even the strictest regulations.

Full visibility over your data

Gain insights into your data at every stage of its journey. Get access to annotators and models performance reports. Spot bottlenecks and resolve them without communication overhead.

Real-Time Chat Support

Get the support you need, when you need it. V7's team is here for you to solve your problems and help you implement your ideas.

Easy to Use

Start labeling right away. Thanks to V7’s intuitive UI, you’ll get your bearings the moment you open the platform.

Smooth Admin

V7’s dataset management tool was developed with users in mind. Clean interface, quick preview options, detailed stats—all these make a difference.

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Quick Setup

Plug in your data, set up a workflow, and start annotating. With V7, you’ll get your labeling project up and running in a matter of minutes.

Top quality support

You will never walk alone. If you experience any technical issues, our support teams are just a click away.

the data engine

Manage Your AI Data in a Single MLOps Platform

Explore the features that world-leading AI companies take advantage of when building their AI products on V7.


Migrate Your Data From Supervisely to V7 in a Snap

V7 supports Supervisely's native file formats. See how easy it is to switch to V7 in minutes.

Step 1
Load it in our converter
Convert your project data into JSON format.
Step 2
Export to JSON
Darwin JSON is the default annotation encoding within the platform.
Step 3
You’re ready to use V7!
Once the files have been encoded in Darwin JSON format, you're good to go. If you need help, we’re a click away.
V7 is great. The API is very straightforward to use, so we can easily get data into our system.

Annotations are formatted in JSON, which is easier to parse. V7 also offers a lot of pre-trained networks that we can utilize.

David Soong
Director, Translational Data Science at Genmab
Try V7
David Soong
Director, Translational Data Science at Genmab

More reasons to choose V7

Learn why 15,000+ ML teams chose V7 over Supervisely for their computer vision projects

Top Standards & SLA

You can expect a seamless user experience, confidence in the stability, and reliability of V7.

Top-of-the-line performance standards, backed by regular software updates to keep you at the forefront of innovation.

Responsive Support

Connect with V7 experts via your preferred channel for quick answers to your questions.

Receive expert support or advice whenever you need them.

Protecting Your Data

Top-notch security and peace of mind for your datasets.

Your data is always safe with V7's advanced security features.

Ready to get started?
Try our trial or talk to one of our experts.
Frequently Asked Questions
Reach out to our support team or contact us for further questions
What types of data can be processed by V7?

V7 can process various types of data, including images, medical imaging files, videos, volumetric series, and documents. The exact types of data that can be processed may depend on the specific use case and requirements. However, V7 supports the majority of visual data formats.

What programming languages and frameworks are compatible with the V7 platform?

You can use V7’s Darwin-py SKD to interact with the platform via CLI or use it as a Python library. The full documentation and API reference is available in the V7 resource hub.

What are the steps involved in model training?

If you decide to train your computer vision models on our platform, all you need to do is complete at least 100 annotations of a specific class. Then, you can pick the datasets and classes to train object detection, classification, or instance segmentation models with no additional steps.

What pricing plans does V7 offer?

V7 offers three pricing plans: Business, Pro, and Enterprise. For detailed pricing and feature overview, see the V7 pricing page.

Can you handle large volumes of data for annotation?

Yes, V7 is equipped to handle large volumes of data for annotation. It offers efficient and scalable data management capabilities, making it a great solution for organizations with large datasets.

What kind of annotations can be performed using V7?

V7 can perform various types of annotations for tasks, including object detection, semantic segmentation, and image classification. There are multiple annotation classes, such as polygon masks, bounding boxes, keypoint skeletons for human pose estimation, etc.

What is V7?

V7 is a data training platform that focuses on automation and ease of use. It offers advanced machine learning capabilities, and V7’s key feature, Auto-Annotate, utilizes AI to quickly segment objects in an image, reducing the time required to make annotations by up to 10x.

What is the pricing for data annotation and custom model training services?

V7 uses a system of credits that are consumed when you use specific tools or perform operations such as model training. When it comes to data labeling services, the cost depends on several factors, such as the size of the dataset, the complexity of the annotation tasks, and your deadline. Therefore, it's best to reach out to V7’s team to discuss your requirements and get a quote.

What are other people's opinions about V7?

Customers who have used V7 have generally reported positive experiences with its automation and advanced machine-learning capabilities. V7 receives highly positive reviews on G2, a leading software review platform. Customers praise its features, ease of use, and overall effectiveness.

Is there a limit to in-house labeling when using V7?

There is no limit to the amount of in-house labeling that can be performed using V7. It is designed to be flexible and scalable to meet the needs of various organizations and projects.

Is it possible to use V7 for in-house data labeling?

Yes, V7 can be used for in-house data labeling as it offers advanced data annotation features and can be integrated into the machine-learning team's workflow. In-house labeling is the default mode. It is a flexible and efficient platform for managing your data labeling process. But if you need help, our team can provide professional data labeling services too.

How long does it take to train a custom model?

The time required to train a custom model depends on various factors, including the size of your data, the complexity of the model architecture, and the resources available for training. If you want to train or test V7 models on the platform itself, our Models feature allows you to train a model within several minutes.

How do you handle version control for models and annotated data?

V7 provides version control capabilities that enable you to manage and track changes to your models and annotated data over time. You can also use the export/import feature to revert to previous versions of your annotations if needed.

How do you handle the annotation of sensitive or confidential data?

V7 takes the security and privacy of sensitive or confidential data very seriously—it’s SOC2, HIPAA, and ISO27001 compliant. It provides robust security features and implements industry-standard encryption techniques to ensure the protection of your files. Additionally, it offers flexible access controls that enable you to manage who can view and access your training data.

Can I test V7 before making a purchase?

Yes, V7 provides a complimentary free tier that lets you explore some of its basic features and capabilities. However, to access the full suite of advanced functionalities and harness the platform’s complete potential, it is worth considering one of the paid plans. You can see the full feature breakdown and pricing of V7 here.

Can I get my data annotated without doing it myself?

Yes, you can use V7’s data labeling service. Alternatively, you can use our computer vision models for specific tasks. For example, V7 offers several models for document processing to annotate invoices, receipts, and other documents. You can also simplify the annotation process by utilizing V7's AI-powered feature called Auto-Annotate. This feature automatically segments objects in a selected part of your image, reducing the time required to make annotations.

Can you integrate the trained model into our existing system?

The V7 platform allows you to bring your own custom models, hosted on your own infrastructure. You can use them alongside the models trained using V7's own neural networks. The minimal requirements for the custom models are that they must be exposed via HTTP and make predictions in the form of JSON.

Can multiple people label the same asset in V7?

Yes, multiple people can label the same asset in V7, making it a powerful collaboration platform for your data labeling projects. V7 also includes comment tools, user permissions, or consensus stages that measure the level of agreement between different annotators, allowing you to quickly identify any discrepancies in annotations. These features help to improve the quality of your data labeling process and ensure that your annotations are accurate and consistent. With V7, you can manage large-scale data labeling projects with many collaborators.

Can V7 be used with data stored on my server?

Yes, V7 can be used with data stored on a server. V7 is designed to be flexible and can be integrated with various types of data storage solutions.