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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: 13 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 (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-30T08:11:20.000Z (17 days ago)
- Last Synced: 2024-05-30T14:02:54.851Z (16 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: 202 MB
- Stars: 4,299
- Watchers: 63
- Forks: 683
- Open Issues: 47
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
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