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 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.
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Nuanced offers an advanced solution to identify AI-generated images and content, focusing on maintaining the integrity and authenticity of online platforms. As AI-generated spam, abuse, fraud, and deepfakes become more prevalent, platforms depending on user-generated content encounter major difficulties in sustaining trust and credibility. Nuanced's algorithms are crafted to outpace the swift progress in AI content creation, employing a privacy-first strategy that avoids using personally identifiable information (PII). By incorporating Nuanced's API, companies can effectively distinguish between human-created content and synthetic productions, making it a vital tool for content moderation, fraud detection, and services where content authenticity is paramount.
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Monster Mash is an innovative tool for sketch-based modeling and animation, enabling users to swiftly sketch a character, convert it into a 3D model, and animate it seamlessly. All interactions occur within the sketching plane, eliminating the need for 3D manipulation.