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Build Custom Image Segmentation Model Using YOLOv8 and SAM
https://www.reddit.com/r/programming/comments/1rsg1i4/build_custom_image_segmentation_model_using/

<!-- SC_OFF -->For anyone studying image segmentation and the Segment Anything Model (SAM), the following resources explain how to build a custom segmentation model by leveraging the strengths of YOLOv8 and SAM. The tutorial demonstrates how to generate high-quality masks and datasets efficiently, focusing on the practical integration of these two architectures for computer vision tasks. Link to the post for Medium users : https://medium.com/image-segmentation-tutorials/segment-anything-tutorial-generate-yolov8-masks-fast-2e49d3598578 You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/ Video explanation: https://youtu.be/8cir9HkenEY Written explanation with code: https://eranfeit.net/segment-anything-tutorial-generate-yolov8-masks-fast/ This content is for educational purposes only. Constructive feedback is welcome. Eran Feit <!-- SC_ON --> submitted by /u/Feitgemel (https://www.reddit.com/user/Feitgemel)
[link] (https://eranfeit.net/segment-anything-tutorial-generate-yolov8-masks-fast/) [comments] (https://www.reddit.com/r/programming/comments/1rsg1i4/build_custom_image_segmentation_model_using/)