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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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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Looking to determine a suitable prompt for generating new images similar to an existing one? The CLIP Interrogator is available to provide you with solutions!
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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.