(4.5 / 5)13+ Ratings

V7 Reviews

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Overall Rating

4.5

13 Reviews

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About V7

V7labs.com is a powerful AI training data platform that allows users to annotate images, videos, and volumetric series. It is designed to turn data into software and aims to bring human knowledge into computers to solve the world's most crucial tasks. The platform provides an infrastructure for enterprise training data that includes labeling, workflows, datasets, and has a feature for human-in-the-loop training. It offers multiple annotation properties to improve the quality of data for AI models.

The platform is designed to automate the job's most tedious tasks and accelerate AI product delivery. It can automate up to 90% of tasks and standardize training data processes with unified data workflows, ontologies, and automated QA. This automation-first approach can reduce the cost of AI development by up to 80%.

V7labs.com is trusted by ML, AI, and Computer Vision Experts from across the globe. Testimonials from users suggest that annotation is 30% faster, and considering the whole process - transferring files and QA - the number of files that can be labeled in the same time has more than doubled. The platform has been a catalyst for enhancing capabilities with advanced WSI rendering and AI-assisted annotations to fast-track large-scale pathology AI initiatives. With the help of V7-trained models, up to 4.5 days of work per patient can be saved.

Please note that this information is based on the details available on the website and may vary. For the most accurate and up-to-date information, it is recommended to visit the official website or contact V7 directly.

V7 Pros & Cons

Pros of v7labs.com:

Robust Platform: The platform is designed to cater to various needs, including image annotation, auto annotation, and video annotation for detailed visual data labeling.
Dataset Management: For those dealing with voluminous data sets, dataset management ensures seamless handling.
Workflows Feature: This feature streamlines processes, and it also offers labeling services to assist customers further.
AI Data Engine: V7 Labs’ flagship product is its AI Data Engine, which automates the process of labeling and categorizing data for AI models.
Automatic Annotation: It has automatic annotation tool like SAM, and it allows you to merge the polygons.

Cons of v7labs.com:

Limited Free Plan: The free plan offers limited features and may not be sufficient for larger projects.
Pricing: The pricing for the Business, Pro, and Enterprise plans is not publicly available and requires contacting sales.
Complexity: The platform might be complex for beginners to understand and use effectively.

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V7 Customer Reviews (13)

0/5

Gabriel Burk

Verified Buyer

Jun 17, 2024

Micheal Hunter

Verified Buyer

Jun 17, 2024

Michelle Herman

Verified Buyer

Jun 17, 2024

John Salgado

Verified Buyer

Jun 17, 2024

Emira van Dartel

Verified Buyer

Jun 17, 2024

Victoire Ratté

Verified Buyer

Jun 17, 2024

Carl Rumsey

Verified Buyer

Jun 16, 2024

Violante Romani

Verified Buyer

Jun 16, 2024

Edward Aldrich

Verified Buyer

Jun 15, 2024

Jody Marquis

Verified Buyer

Jun 15, 2024

V7 Customer’s Q&A

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V7 Features and Benefits

V7labs.com is a platform designed to build trustworthy AI at scale and automate labeling. It offers a range of features and benefits:

Key Features:

Auto-labeling: This feature helps in automating the labeling process, which can significantly speed up the development of AI models.
Dataset Management: It provides tools for managing and organizing datasets effectively.
Customizable Workflows: The platform allows for the creation of workflows tailored to specific needs, enhancing efficiency and productivity.

Benefits:

Accelerated AI Product Delivery: The platform enables faster transition from R&D to POC to production AI, reducing the time to market for AI products.
Cost Reduction: By automating up to 90% of tasks and standardizing training data processes, it helps reduce the cost of AI development.
Improved Model Performance: Continuous model performance improvements are possible through various features of the platform.

This platform is trusted by ML, AI, and Computer Vision Experts across the globe. Testimonials from users suggest that annotation is 30% faster and the number of files that can be labeled in the same time has more than doubled. The platform has been a catalyst for enhancing capabilities with advanced WSI rendering and AI-assisted annotations to fast-track large-scale pathology AI initiatives. With the help of V7-trained models, up to 4.5 days of work per patient can be saved.

V7 Pricing

V7labs.com offers several pricing plans:

Basic (Free): This plan includes up to 1,000 files and 3 seats. It is a good starting point to try V7 for free.
Starter ($499/month): This plan is perfect for small teams or single deployments working with images. It includes everything in Basic, plus 50,000 files, Intercom support with rapid response time, and the option to add on extra seats.
Business: This plan is designed for scalable training data operations across any data modality. It includes everything in Starter, plus 1M files, all data modalities (videos, medical files, and images), 15 seats, and 3 storage integrations.
Pro: This plan powers collaborative workflows across multiple departments. It includes everything in Business, plus 4M files, 60 seats, 4 workspaces, 9 storage integrations, VPC integration, and 8 solutions engineering hours.
Enterprise: This plan is for enterprise-wide deployment of accelerated training data creation. It includes everything in Business, plus 10M+ files, 150 seats, 10 workspaces, 30 storage integrations, VPC integration, and 20 solutions engineering hours.

For the Business, Pro, and Enterprise plans, you need to contact sales for pricing details. All paid V7 plans include unlimited use of Datasets, Workflows, Annotation, autoML, and the DarwinPy SDK and APIs. Please note that this information is based on the details available on the website and may vary. For the most accurate and up-to-date information, it is recommended to visit the official website or contact V7 directly.

V7 FAQs

V7 Alternatives

Here are some of the top alternatives to v7labs.com:

Encord: A leading alternative platform to build annotation, curate visual data, find and fix data errors, and monitor model performance. It offers robust features, customizable workflows, and seamless integration with custom models.
Labellerr: A robust and feature-rich alternative to V7, designed to streamline and enhance the efficiency of AI teams in the critical tasks of data labeling and model training. It provides an auto-annotate feature, that promises a remarkable 99x increase in the speed of generating high-quality labels.
CVAT: An open-source tool for manual image and video annotation. It provides a user-friendly interface and a wide range of features to assist with annotation tasks.
iMerit: A data annotation platform that offers services across various industries including autonomous vehicles, agriculture, drone imagery, and more.
Labelbox: A collaborative training data platform for machine learning applications. It provides tools for creating and managing high-quality training data.
Dataloop: A platform that provides a powerful suite of tools designed to annotate, manage, and automate data operations for machine learning.
Scale: A data platform for AI that provides high-quality training data for machine learning models.
SUPA: A data annotation tool that offers a wide range of features including image annotation, video annotation, and data management.
LinkedAI: An AI-powered data annotation platform that provides tools for image annotation, video annotation, and data management.
Lodestar: A data annotation tool that offers a wide range of features including image annotation, video annotation, and data management.

These platforms offer a variety of features and capabilities that can meet different needs and requirements. It's recommended to explore each platform to determine which one best fits your needs.

How To Open A V7 Account?

To open an account on v7labs.com, follow these steps:

Visit the official website of V7.
Click on the Sign Up button.
Enter your work email.
Accept the Terms and Conditions.
Click on the Log in button.

After these steps, you should have successfully created an account on V7. It's recommended to use your company or academic email during the sign-up process. Once the account is created, you can start using the powerful AI training data platform provided by V7. This platform allows you to annotate images, videos, and volumetric series. It also offers auto-labeling features, training models in the cloud, and even the option to hire professional annotators to help you out.