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notebooks
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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Jupyter Notebook
Updated: Today
📋 Project at a Glance
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What's this?Learning & Resources project leveraging automatic-labeling-system and computer-vision, built with Jupyter Notebook, open-source
Who made it?Maintained by roboflow team, 9.6K⭐ on GitHub, #264 out of 3640 in Learning & Resources
Why does it exist?With the growing demand for automatic-labeling-system and computer-vision in Learning & Resources, roboflow created notebooks as a streamlined solution.
What can it do?Key use cases: deep-learning, deep-neural-networks, google-colab
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/roboflow/notebooks | 官网 https://roboflow.com/models
🔗 github.com/roboflow/notebooks | 官网 https://roboflow.com/models
Topics
automatic-labeling-systemcomputer-visiondeep-learningdeep-neural-networksgoogle-colabimage-classificationimage-segmentationmachine-learningobject-detectionopen-vocabulary-detectionopen-vocabulary-segmentationpaligemmapytorchqwentutorialvlmyolov5yolov8zero-shot-classificationzero-shot-detection