Luma AI
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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.
Similar neural networks:
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.
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.
Ailiverse NeuCore is an API solution for computer vision that decreases the data requirements for training and speeds up GPU training. It offers functionalities for image classification, image segmentation/object detection, action recognition, deepfake detection, and OCR.