Jupyter Notebook
roboflow/notebooks
A 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 RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
★ 9.7k
Stars
1.5k forks · 92 open issues
+1.3/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
29.8
Momentum / 100
see the breakdown below
3y ago
Created
last push 46d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 6.9 | +1.3/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.98× the monthly pace |
| Freshness | 15 | 11.3 | last push 46d ago; decays to zero at 180 days |
| Scale | 15 | 11.6 | 9.7k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 29.8 | sum of the above |
Detail
| Topics | automatic-labeling-systemcomputer-visiondeep-learningdeep-neural-networksgoogle-colabimage-classificationimage-segmentationmachine-learningobject-detectionopen-vocabulary-detectionopen-vocabulary-segmentationpaligemmapytorchqwentutorialvlmyolov5yolov8zero-shot-classificationzero-shot-detection |
| Matched on | Computer Vision (computer-vision, image-segmentation, object-detection) Learning & Roadmaps (tutorial) |
| Short window | +9 stars over 7 days = 1.3/day |
| Long window | +34 stars over 26 days = 1.3/day |
| Lifetime average | 6.73 stars/day over 1,448 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |