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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The company has created a photorealistic 3D capture software aimed at delivering 3D images on smartphones. This platform employs a neural capture and rendering system to turn everyday smartphone photos into photorealistic 3D captures, serving sectors like e-commerce, real estate, and the 3D gaming industry. It allows users to engage with photos and videos within a mixed-reality 3D environment.
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MagiScan is a mobile 3D scanning application driven by AI that allows users to effortlessly generate high-quality 3D models of real-world items using their iOS or Android devices. Designed to be straightforward, efficient, and cost-effective, it caters to both professionals and casual users alike. Offering the ability to export models in multiple formats such as USDZ, GTLF, GLB, OBJ, STL, FBX, and PLY, the app is perfectly suited for eCommerce, game development, virtual reality, and additional fields. MagiScan stands out for its rapid digitization capabilities, effectively connecting the physical and virtual worlds, contributing to its top rankings on the App Store and Google Play across numerous countries.
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The Qlone app transforms photos taken on iPhones or iPads into enhanced 3D models for augmented reality by using the Object Capture API on macOS Monterey. It employs photogrammetry and enables scanning through the Qlone app or the processing of images from folders or ZIP archives.