V7 Reviews & Product Details - Page 6

V7 is a powerful AI training data platform that enables you to annotate images, videos, documents, and medical imaging files. It is the quickest way to obtain high-quality annotated data for training your computer vision models. You can utilize auto-labeling features to accelerate your annotation projects, manage your MLOps workflows, or hire professional annotators for assistance. - Pixel-perfect automatic data labeling, including AI segmentation tools and semantic masks. - Intuitive dataset, workflow, and model management for better control over your ML development pipeline. - Annotation services through official partners with expertise in niche industries. With advanced auto-labeling, quality assurance (QA), and team collaboration tools, V7 will help you reduce your data annotation time by 10x and assist you in developing more accurate AI solutions. Annotate any dataset with ease and seamlessly integrate V7 into your training data management and model development pipeline. - Create automatic pixel-level labels for instance segmentation. - Annotate lengthy videos with 100K+ frames and thousands of annotations. - Use multi-planar views and voxels for medical imaging and volumetric data. - Annotate medical file formats such as DICOM and NIfTI or whole-slide imaging. - Run your data through public ML tools, connect external models, or train your own AI in the cloud. - Scan text in any language, classify files, detect objects, and extract relevant information with AI. - Add key points and skeletons for activity recognition or pose estimation. - Assign user roles, manage access permissions, and allocate annotation tasks. You can seamlessly integrate V7 with your existing tech stack and import/export annotations with ease. Additionally, V7 empowers you to have complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI. Try out one of the best MLOps and data labeling tools for computer vision for free: https://www.v7labs.com/sign-up