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Description:
We compare Segment Anything (SAM) and FastSAM, highlighting their differences in performance and application. We take you through the installation process, inference modes, and deep comparison of these two models, offering insightful observations about their strengths and limitations.
This video serves as a comprehensive guide, packed with valuable resources for FastSAM and SAM, ideal for AI enthusiasts, developers, and researchers alike. Don't miss the opportunity to deepen your understanding of AI, computer vision, and the latest tech breakthroughs!
Chapters:
- 00:00 Introduction
- 01:07 Fast SAM
- 02:10 Installation
- 04:35 Everything Prompt
- 07:36 Box Prompt
- 09:01 Point Prompt
- 09:42 Text Prompt
- 11:05 SAM vs FastSAM
- 13:06 Conclusions
- 15:28 Outro
Resources:
- 🌏 Roboflow: roboflow.com
- 📚 Roboflow Notebooks Repository: github.com/roboflow/notebooks
- 🌌 Roboflow Universe: universe.roboflow.com
- 🗞️How to Use FastSAM blogpost:blog.roboflow.com/how-to-use-...
- 🗞️What is FastSAM? The Ultimate Guide. blogpost: blog.roboflow.com/what-is-fas...
- 🗞️Fast Segment Anything (FastSAM) paper: arxiv.org/abs/2306.12156
- 📓Fast Segment Anything Model (FastSAM) notebook: colab.research.google.com/git...
- 🌌 SA-1B dataset: segment-anything.com/dataset/...
Complementary SAM resources:
- 🗞️How to Use the Segment Anything Model (SAM) blog post: blog.roboflow.com/how-to-use-...
- 🎬 Segment Anything Model (SAM) KZbin video: • SAM - Segment Anything...
- 🎬 Accelerate Image Annotation with SAM and Grounding DINO KZbin video: • Accelerate Image Annot...
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