Segment Anything by Meta

Meta AI's "Segment Anything" AI model revolutionizes computer vision research, allowing effortless object segmentation with a single click. It adapts to new objects and images sans extra training, handling various input prompts like interactive markers and bounding boxes, even generating multiple masks for ambiguous cues. The resulting masks seamlessly integrate into other AI systems, video tracking, image editing, and 3D applications. Efficiency defines the model, with a swift image encoder and lightweight browser-compatible mask decoder. While a GPU enhances the image encoder's performance, the prompt encoder and mask decoder work adeptly with PyTorch or ONNX for CPU/GPU use. Trained on the SA-1B dataset of 11 million images, the model amassed 1.1 billion segmentation masks, cementing its prowess.