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GitHub / 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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Fnotebooks

Stars: 4,187
Forks: 664
Open Issues: 45

License: None
Language: Jupyter Notebook
Repo Size: 228 MB
Dependencies: 3

Created: over 1 year ago
Updated: 8 days ago
Last pushed: 8 days ago
Last synced: 8 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

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