Average Model Cost: $0.0112
Number of Runs: 59,885
Models by this creator
The SegmentAnything Model (SAM) is an image-to-image translation model developed by Meta. It is designed to segment anything in an image by predicting pixel-level masks. This model can be used in various computer vision tasks, such as object detection and segmentation, to enhance the understanding and processing of images.
The Segment Anything Model (SAM) by Meta is an image-to-image model that is designed to segment any objects within an image. It uses a deep learning architecture to analyze the given image and identify the different objects present. SAM can be used for a variety of applications including image analysis, object detection, and computer vision tasks.