SAMurai-An Image Annotation Tool

An image segmentation tool called SAMurai was created with Python for backend processing. It makes use of a Flask server to manage API requests and offer effective system interaction. JavaScript is used in the tool’s front-end, which provides a dynamic and intuitive interface for uploading and viewing segmented photos. SAM, or Segment Anything models, are a collection of promptable image segmentation models created by Meta that can produce accurate object segmentations or region masks in an adaptable, on-demand manner using user inputs (referred to as prompts) such as points, boxes, masks, or text in addition to the input picture. High accuracy in detecting objects or features inside photos is guaranteed by this deep learning model. The application is designed to serve fields like computer vision, object detection, and image analysis, and can be extended in the future to support broader data types and advanced functionalities.