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Fine-Tuning SAM-2.1 for Image Segmentation

Roboflow via YouTube

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Overview

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Learn how to run inference and fine-tune Meta's latest Segment Anything model (SAM-2.1) in this 20-minute technical tutorial. Master the fundamentals of image segmentation while exploring practical implementation steps through a comprehensive fine-tuning guide and interactive Colab notebook. Discover methods for integrating SAM-2 with Roboflow's platform and access detailed resources including implementation guides and practical examples for enhancing image segmentation capabilities in computer vision projects.

Syllabus

SAM-2.1: How to Fine-Tune for Image Segmentation

Taught by

Roboflow

Reviews

4.0 rating, based on 1 Class Central review

Start your review of Fine-Tuning SAM-2.1 for Image Segmentation

  • Jules Ntare
    The instructor went through all the essential information needed on SAM 2.1, by giving examples, a notebook to practice, and the difference between fine-tuned SAM and base SAM. A good instructor indeed.
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