V7 Product Updates

Discover how V7's new features for medical image segmentation can transform your radiology projects with advanced 3D visualization, custom layouts, improved segmentation models, and more.

With customizable properties like Multi Select and Single Select, users can now enrich their datasets with detailed classifications. This update facilitates better dataset management, scalability, and adaptability, as well as training more accurate models.

Optimize your training data management and annotation workflow with V7's advanced dataset filters. Identify critical data points with filters based on users, status, properties, or classes.

Track, analyze, and optimize your data annotation workflows with ease. Explore new reporting features available in V7 for a deeper understanding of your datasets and labeling process.

V7 can now handle video files that are 10x longer, and with 700x more annotations! We've updated our annotation interface and backend video processing to make working with video datasets more intuitive, faster, and flexible.

Learn how to incorporate Hugging Face models into your V7 data annotation projects. Discover a wide array of models that will help you save costs and build better AI.

V7 now allows you to seamlessly integrate volumetric masks, enabling detailed 3D reconstructions of regions of interest. With the capability to adjust voxels from any perspective, you can achieve unmatched consistency and precision in your annotations.

Unlock the potential of masks in V7 to achieve precise pixel-level labeling and semantic segmentation. Find out to increase annotation accuracy and simplify the editing process.

Streamline your annotation process and enhance customization with stage-specific classes. Assign classes and annotators to individual stages, providing greater control and simplifying the annotation experience.

Do you want to connect V7 with your own models or use third-party AI solutions? With our latest update, you can easily register and configure external models.

Up to 17x speed improvement in Annotation Action with Accelerated Label Rendering (ALR). Check it out.

Discover the updated V7 Auto-Annotate tool powered by Segment Anything (SAM). Learn how the new SAM engine can enhance your ML training data and solve segmentation tasks.

Create, edit, search, and map classes within your datasets from a single page and get full visibility over your data.

Collaborate & spot errors efficiently with Comment Tool 2.0. Resolve disagreements faster with the Issues Tab, and use the chat widget to communicate with your team in real-time.

Explore the Webhook Stage for seamless integration between applications in V7. Learn what webhooks are and how they can enhance your custom ML workflows.

Get an in-depth understanding of Logic Stages. Learn how to use the Logic Stage module to identify undesirable data points and accelerate the development of your AI models.

Discover how to effectively utilize the Sampling Stage for quality assurance of your datasets. Uncover the optimal use cases for streamlining workflows and accelerating review processes.

This stage helps users ensure accuracy, consistency, and quality of annotated datasets while minimizing manual review time. It also allows for comparison of model and human performance.