https://github.com/roboflow/notebooks
This repository offers a comprehensive 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 YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
https://github.com/roboflow/notebooks
automatic-labeling-system computer-vision deep-learning deep-neural-networks google-colab image-classification image-segmentation machine-learning object-detection open-vocabulary-detection open-vocabulary-segmentation paligemma pytorch qwen tutorial vlm yolov5 yolov8 zero-shot-classification zero-shot-detection
Last synced: 6 days ago
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This repository offers a comprehensive 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 YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
- Host: GitHub
- URL: https://github.com/roboflow/notebooks
- Owner: roboflow
- Created: 2022-11-18T18:16:56.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-03-24T16:19:08.000Z (21 days ago)
- Last Synced: 2025-04-02T00:30:10.309Z (13 days ago)
- Topics: automatic-labeling-system, computer-vision, deep-learning, deep-neural-networks, google-colab, image-classification, image-segmentation, machine-learning, object-detection, open-vocabulary-detection, open-vocabulary-segmentation, paligemma, pytorch, qwen, tutorial, vlm, yolov5, yolov8, zero-shot-classification, zero-shot-detection
- Language: Jupyter Notebook
- Homepage: https://roboflow.com/models
- Size: 447 MB
- Stars: 7,480
- Watchers: 94
- Forks: 1,170
- Open Issues: 59
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
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