roboflow/notebooks

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

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Established

This collection provides practical guides to building and using computer vision models for analyzing images and video. You input your image data and receive insights like identified objects, segmented regions, or tracked movements. It's designed for machine learning practitioners, data scientists, and engineers who want to implement advanced computer vision solutions.

9,245 stars. Actively maintained with 8 commits in the last 30 days.

Use this if you need step-by-step instructions and code examples to apply state-of-the-art computer vision models for tasks such as object detection, image segmentation, or optical character recognition.

Not ideal if you are looking for a plug-and-play application that doesn't require coding or an understanding of machine learning concepts.

computer-vision-development image-analysis object-detection machine-learning-engineering data-science
No License No Package No Dependents
Maintenance 17 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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1,422

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Jupyter Notebook

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Last pushed

Feb 26, 2026

Commits (30d)

8

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