https://github.com/roboflow/notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
https://github.com/roboflow/notebooks

amazon-sagemaker-lab 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 pytorch tutorial yolov5 yolov6 yolov7 yolov8 zero-shot-classification zero-shot-detection

Last synced: 5 days ago
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Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

• Host: GitHub
• URL: https://github.com/roboflow/notebooks
• Owner: roboflow
• Created: 2022-11-18T18:16:56.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-12-16T12:05:00.000Z (28 days ago)
• Last Synced: 2024-12-31T12:06:38.112Z (12 days ago)
• Topics: amazon-sagemaker-lab, 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, pytorch, tutorial, yolov5, yolov6, yolov7, yolov8, zero-shot-classification, zero-shot-detection
• Language: Jupyter Notebook
• Homepage: https://roboflow.com/models
• Size: 355 MB
• Stars: 5,728
• Watchers: 80
• Forks: 908
• Open Issues: 52
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md

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