Segment Anything is an innovative AI model developed by Meta AI that revolutionizes computer vision by allowing users to segment any object in an image with just a single click. This versatile AI model serves as a promptable segmentation system, offering zero-shot generalization to unfamiliar objects and images without requiring additional training.
To use Segment Anything, simply access the demo on the official website. Users can interact with the model by providing prompts, such as clicking on an object in the image or supplying bounding boxes for segmentation. The system processes these simple interactions to deliver precise segmentation results within milliseconds.
Segment Anything is currently available for free during its demo phase. Future pricing details are expected to be disclosed, potentially offering subscription models or usage fees for advanced features and extended functionality.
Segment Anything supports a variety of prompts, including foreground/background points, bounding boxes, and more. Text prompts are also discussed in research but are not yet released.
The model consists of a ViT-H image encoder, a prompt encoder to process inputs, and a lightweight mask decoder to predict object masks from embeddings.
The image encoder requires a GPU and is implemented in PyTorch. However, the prompt encoder and mask decoder can also run on CPU across various platforms via ONNX runtime.
Inference with the image encoder takes approximately 0.15 seconds on an NVIDIA A100 GPU, while the prompt encoder and decoder take around 50 milliseconds on a CPU within a web browser.
Currently, Segment Anything only supports images or individual frames rather than video sequences directly.
The code for Segment Anything is publicly available on GitHub for those interested in exploring or contributing to its development.
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