Auto Annotation

Auto-Annotate Complex Objects 10x Faster

Use automatic labeling for large-scale commercial AI projects. Bring human judgment into the loop and integrate human feedback techniques to get the best training data in your industry.

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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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Raman Muthuswamy
Raman Muthuswamy
Director, Translational Research at Genmab
We use V7 to make our annotation and model training workflows more efficient. It's much easier to use than other software thanks to its intuitive UI.
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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.
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Benefits

Speed Up Data Labeling and Launch AI Products Before Anyone Else

Replace time-consuming labeling processes with state-of-the-art foundational models. Segment complex shapes with a single click, detect multiple objects, and reduce the cost of your data annotation operations.

Pixel-perfect Annotations

Achieve higher labeling accuracy in fewer clicks with V7's neural network. Increase efficiency and minimize human error.

Train Models or Bring Your Own

Train models directly on V7, integrate your own via REST API, or pick one from V7’s models library. Add them to your custom workflow and auto label your training data with ease.

All Formats Support

From JPG to PNG to DICOM to NIfTI—label image files for any use case. Upload and annotate right away without a need to convert.

Custom Data Workflows

Build and automate data workflows to speed up your annotation projects. Add multiple review, model, consensus, logic, webhooks, and annotation stages. Assign user roles.

Advanced Image Manipulation

Streamline the labeling process with orientation markers, reference lines, histograms, color maps, or contrast control.

Video Annotation

Label videos, image sequences, and volumetric data faster with auto-annotation and interpolation features. Avoid frame rate errors.

Labeling Services

Hire professional labelers who care about your data. Use V7's labeling services, and we'll manage the entire labeling projects for you.

SOC2, HIPAA and FDA Compliance

V7 keeps all your data safe. We are SOC2, HIPAA & FDA-compliant, and we enable SSO integration so that you can rest assured that your data remains protected and private.

benchmarking

Auto Annotate vs. Manual Annotation

Join 1000+ teams using V7's training data platform to generate Ground Truth faster.

Manual Annotation
41.7 s
Annotation time
256 clicks
Completion
accuracy
75%
Automated Annotation
5.1 s
Annotation time
26 clicks
Completion
accuracy
95%
USING AUTO-ANNOTATE

How Does Automated Annotation Work?

Create annotation masks that automatically recognize separate objects and adjust to their shape. Enhance annotations with one-click adjustments or custom models.

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Step 1
Select an object
Delineate the object class you want to label and name it
Step 2
One-click corrections
Click to include or exclude parts of the object
Step 3
Automate asset labelling
Automatically label new objects in seconds
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We conducted an extensive research of annotation tools and ultimately chose V7.

It fits our business needs best due to its customizable workflows, simple setup, consensus stages, and the ability to monitor annotator performance and project progress. It's also very intuitive and stable.

Maleeha Nawaz
Manager of Quality and Data Curation
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Ryan Watson
Segmentation Manager at Intelligent Ultrasound
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Benefits

Manage your AI data in a single ML-Ops platform

Solve any labeling task 10x faster, train accurate AI models, manage data, and hire pro labelers that care about your computer vision projects

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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 offers a free trial version that allows you to test its features and capabilities before making a purchase. However, to unlock all the functionalities and all the potential that the platform offers, 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.

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