Segment Anything (Meta)

Pricing model
Open Source
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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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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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The Google Thing Translator site enables users to employ their phone's camera to convert physical objects from one language to another. It leverages artificial intelligence to recognize items and then translates the text on these objects into the desired language. Additionally, it offers users the option to save and share their translations.
Open Source
Upvote 0
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.