đź“Ł
Join Our Session on May 31: "Beyond Baseline Accuracy: Developing Industry-Ready LLMs"
Register now ->
Plot the best routes for your training data. Ensure the quality and cut down on AI model delivery times through automation
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 ->
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.Read case study ->
We did a comparison when we started and noticed an increase in efficiency when we changed the workflow. Thanks to V7, we no longer have to waste time.Read case study ->
V7 offers you eight workflow stages you can arrange, connect, and loop in any way you need
Luckily, solutions like V7 came up, which are maturing in the industry, helping companies like ours to scale up and stay ahead with our R&D
The easiest low-code experience to help you train and ship performant AI
Gain insights into your data at every stage of its journey. Spot bottlenecks and resolve them without communication overhead.
Create your own workflow or pick one from our library of workflows templates. From simple to complex data projects - V7 allows you to customize your data pipelines to solve any computer vision task, at scale.
Easily build and automate a workflow process to take your data from its rawest form to being enriched with annotations. Set up your workflow once and use it for multiple data projects.
Drag and drop stages to connect them into custom workflows. Leverage no-code interface and complete your AI projects without dev help.
Turn your labeled data into models and use them to label more data. Run and improve models iteratively - get immediate results from inference API. You can also register your own model via REST API.
Build custom workflows and integrate them with any part of your data pipeline. Connect external storage, collaborate in real-time, label, manage, and push data externally in a few clicks.
Workflows is V7’s way of helping you structure your ML pipeline—from uploading your data, assigning roles, labelling and reviewing it, and training your models
Bring together all stakeholders - from annotators to data scientists and machine learning engineers, your team can collaborate in real-time in one unified platform. Assign user roles, spot data errors, and create Ground Truth faster
Solve any labeling task 10x faster, train accurate AI models, manage data, and hire pro labelers that care about your computer vision projects
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.
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.
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.
V7 supports image, video, and text data. The file formats you can use with V7 include: JPG, PNG, MP4, MOV, AVI, BMP, SVS, TIFF, DCM, ZIP, DICOM, NIfTI.
V7 offers three pricing plans: Team, Business, and Pro. The team plan starts at $5,000/year. For detailed pricing and feature overview see the V7 pricing page.
Medical image annotation involves labeling the medical imaging data such as X-Ray, Ultrasound, MRI, CT Scan, etc., for training machine learning models.
Yes. V7 works with a trusted network of partners and professional annotators who will help you turn your data into ground truth. Go to V7 Labeling Services to submit the form and we will send you a proposal within hours.
We offer in-app chat support and email technical support to all of V7 users. We will make sure to take good care of you and your team. You can get in touch with us at: support@v7labs.com.
