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Description | SuperAnnotate is a compact and quick platform enabling users to train, annotate and automate their computer vision pipelines. Organizations can use the particular to hire professionally managed and trained annotation teams for their in-house projects. They just need to generate a project, setup instructions, share them with relevant teams and select the best out of the rest. The software with its robust tools and impeccable metrics turns out to be useful for businesses service across industries like security, retail, autonomous driving, aerial imagery, medical and robotics. A no-code prediction system accompanied by a one-click neural network training system, lets users boost up their annotation speed up to 10x. SuperAnnotate covers up metrics like semantic segmentation besides keypoint and object detection. Accurate pipeline integration feature within the solution, lets enterprises integrate their computer vision pipeline, via Python SDKs. This way they get to automate inbuilt data, project management tasks and listed user schedules as well. Moreover, teams can work together, where members get to collaborate on vital tasks. Read more | V7 labs are an end-to-end computer vision development framework for teams creating image and video annotation products. Albert Rizzoli (CEO) and Simon Edwardson (CTO) founded the company in 2018, and it is based in London, United Kingdom. Using an intuitive UI or sophisticated API connections to manage datasets at ground-truth. Provides customers with configurable workflow phases and maintains crowdsourcing with hundreds of annotators. V7 claimed to have semi-automatically labeled over 1,000 photos and used video segmentation to curate datasets in less than a year. Healthcare, manufacturing, autonomous driving, sports, life sciences, and agri-tech are among V7's specialties. The Darwin Platform (from V7 laboratories) includes automatic picture annotation and neural network training with active learning, which provide pixel-perfect annotation 10 times faster than standard techniques. It facilitates team collaboration and visualization, and has resulted in a significant boost in the labeling process' efficiency and accuracy. It also scales well to meet the needs of users who require tight compliance and compatibility. The framework's active documentation gives information about each toolset, making it user-friendly. Read more |
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User-friendly Interface, Excellent Customer Support, Efficient Annotation Tools, AI-powered Automation Features Limited Admin Functionality, Occasional UI Confusions, Lack of Point Cloud Annotation, Insufficient Video Annotation Tooling |
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SuperAnnotate's user reviews highlight its user-friendly interface, extensive annotation capabilities, quick customer support responses, and compatibility with various data formats. The platform's intuitive design and comprehensive online documentation ensure an easy learning curve, enabling users to start annotating quickly. Reviewers particularly appreciate SuperAnnotate's image, video, and text annotation tools, as well as its ability to handle complex datasets effortlessly. The platform's dedicated support team is lauded for their prompt and helpful assistance. However, some users mention occasional glitches and suggest improvements in project management and collaboration features for better teamwork. |
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Company Details | Located in: Sunnyvale, California | Located in: London, England Founded in: 2018 |
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+44 20 3320 5000 |
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