JacobJ215/YOLO-NAS-SAM
This project demonstrates how to perform object detection and image segmentation using YOLO-NAS for object detection and SAM for image segmentation.
This project helps computer vision practitioners analyze images by identifying and outlining distinct objects. It takes an image as input and outputs the image with boxes around detected objects and precise masks segmenting each object. This is ideal for those working in areas like autonomous driving, robotics, or video analytics who need to automatically identify and precisely delineate items within visual data.
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Use this if you need to both detect objects within an image and generate highly accurate, detailed outlines for each of those objects.
Not ideal if you only need a rough detection of objects without precise segmentation, or if your primary input isn't image data.
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Sep 24, 2023
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