Overview
What is V7Labs?
V7 Labs headquartered in London offers a toolkit for creating robust computer vision AI. The user need only add data. V7 automates labelling, enables unparalleled control of annotation workflow, helps you spot quality issues in data, and integrates into the…
Pricing
Team
$5400
Business
Custom Quote
Enterprise
Custom Quote
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $5,400 per year
Product Details
- About
- Tech Details
What is V7Labs?
V7Labs Video
V7Labs Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Comparisons
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Reviews
Community Insights
- Business Problems Solved
- Recommendations
V7Labs solves various business problems by providing a platform that facilitates the creation of high-quality data annotation pipelines with large data sets and large teams. Users can generate tons of annotations for cheap, making it immensely helpful for creating annotated data for various image and video applications. The filtering options give users a better overview of their data, making it easier to manage complex datasets. Additionally, the platform is user-friendly, allowing for annotations of large images and videos with a rich set of annotation tools, easy review, and fast export.
Several users have reported significant improvements in efficiency and higher accuracy when using V7Labs. For instance, the platform has helped users reduce the time spent on annotation significantly, from days to hours or even just 30 minutes, depending on the use case. This reduction in annotation time has made it easier for users to manage complicated and intricate, pixel-perfect labeling exercises for computer vision tasks such as biomedical cell data, rocks, and agricultural animals and foods. The biggest benefit of V7Labs is having them label the images for users, solving business problems such as scoring fruit fly avatars and automating the whole process of scoring phenotypes that were previously done manually.
Users highly recommend trying out V7, especially for labeling video data. They suggest starting with a trial and testing out the autoannotate tools to experience its capabilities. Additionally, users emphasize the benefits of contacting V7 for building an annotation platform or storing image and video annotations. With its ability to handle tasks ranging from simple to robust, V7 is regarded as a highly advanced video labeling platform. These recommendations highlight the valuable features and potential of V7 in enhancing data quality and streamlining annotation processes.