Announcing the Launch of SAM 3 in Encord

Encord has swiftly integrated Meta's latest Segment Anything Model 3 (SAM 3) into its platform, just a day after its release. SAM 3, a vision foundation model, excels in detecting, segmenting, and tracking objects within images and videos using text prompts or visual examples. Its architecture separates recognition from localization, allowing for flexible and detailed segmentation, and is trained on a vast dataset for real-time inference of numerous objects per frame. The integration with Encord enhances productivity by enabling users to detect, track, and label objects with one click, supporting both multi-object detection and text prompts. The updated SAM 3 modal offers a toggle for switching between single-object and multi-object detection modes, maintaining the same refinement process familiar to users of SAM 2. This advancement aims to boost data annotation speed and accuracy, with Encord seeking user feedback to further improve its machine learning annotation tools.

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