GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Fnotebooks
Stars: 7,558
Forks: 1,186
Open issues: 60
License: None
Language: Jupyter Notebook
Size: 463 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 3 days ago
Pushed at: 10 days ago
Last synced at: 3 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