Segment Anything (Meta)
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Pricing model
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Segment Anything AI (Meta) provides the Segment Anything Model (SAM), an AI tool capable of isolating any object within any image. SAM is promptable and exhibits zero-shot generalization to novel images and objects, utilizing a range of input prompts that allow seamless integration with other AI systems. It can also be trained to label images and enhance its dataset. The SAM model is crafted to be efficient and adaptable, optimizing its data engine's performance. Contributors to the project include Alexander Kirillov, Eric Mintun, Nikhila Ravi, among others. The code is accessible on GitHub, and users can subscribe to their newsletter for updates on their latest research advancements.
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Olypsys provides a cutting-edge smartphone-based solution for the accurate measurement and identification of O-rings using machine learning technology. This easy-to-use tool enables rapid and precise measurements, with data stored in a centralized database accessible through mobile and web applications. It is tailored for industrial users, large companies, and distributors seeking efficient, portable, and cost-effective O-ring measurement solutions. By integrating advanced technology with user-friendliness, Olypsys offers a valuable resource for enhancing accuracy and optimizing operations in manufacturing, maintenance, and engineering industries.
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Rokoko offers a range of motion capture solutions and services designed to help users craft more lifelike and engaging animations. Their offerings include comprehensive performance capture, the Smartsuit Pro II, Smartgloves, and Face Capture, as well as the free Rokoko Video tool, which lets users animate quickly using a webcam. Additionally, real-time tracking is provided to further enrich the animation process.
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UBIAI's robust annotation platform offers a quick and effective solution for data labeling, training, and deploying custom NLP models. It includes an OCR Annotation tool for high-quality data labeling, team collaboration, model-assisted labeling, document classification, named entity extraction, multi-lingual annotation, and an OCR annotation tool. UBIAI allows users to streamline their NLP development process by reducing annotation time by 50-80%, lowering costs for testing and validating custom NLP models by 5 times, and decreasing the need for manual annotations by 12 times. It smoothly manages annotation complexities by unlocking data from scanned images and PDF documents. Moreover, UBIAI's auto-labeling function accelerates NLP projects, while its pre-annotation feature helps users kickstart their annotation projects efficiently. Additionally, UBIAI enables users to create training data and export models in various formats, serving as an all-in-one solution for NLP requirements.