Meta has released SAM 3 and SAM 3D, new image segmentation models that enhance object recognition and enable 3D reconstruction of images. SAM 3 allows users to edit images through detailed text prompts, while SAM 3D can rebuild objects and people in 3D. Both models aim to improve creative applications and user interactions in various digital environments.

The article explains how optical character recognition (OCR) models, like deepseek-ocr, process images of text into machine-readable formats. It details the roles of the encoder and decoder in transforming visual data into structured text while highlighting the advancements in learning techniques that reduce the need for manual coding.

Meta has introduced Segment Anything Model 3 (SAM 3), which enhances object detection, segmentation, and tracking in images and videos using text and visual prompts. The release includes model checkpoints, a new playground for experimentation, and applications in platforms like Facebook Marketplace and Instagram's Edits app. SAM 3 also features a data engine that combines AI and human annotators to speed up image and video annotation.