Segment Anything by Meta

Segment Anything by Meta AI is an AI model that revolutionizes computer vision research. With just one click, users can effortlessly segment objects in any image. This powerful model utilizes a promptable segmentation system, allowing for seamless generalization to unfamiliar objects and images, without the need for additional training.

Flexibility is key with this model, as it can accept a wide range of input prompts to determine what to segment in an image. These prompts include interactive points and boxes, and can even generate multiple valid masks for ambiguous prompts. The output masks can be utilized in various applications, such as input for other AI systems, tracking in videos, image editing, as well as lifting to 3D or creative tasks.

Efficiency is at the core of this AI model, as it boasts a one-time image encoder and a lightweight mask decoder that can run seamlessly in a web browser within a matter of milliseconds per prompt. The image encoder requires a GPU for efficient inference, while the prompt encoder and mask decoder can run directly with PyTorch or be converted to ONNX, allowing for efficient CPU or GPU utilization across different platforms supported by ONNX runtime.

Rest assured, this model is built on a robust foundation of data. Trained on the SA-1B dataset, which comprises over 11 million licensed and privacy-preserving images, resulting in an astounding collection of over 1.1 billion segmentation masks. You can trust that Segment Anything by Meta AI provides accurate and reliable results.