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.
Install / Use
npx skills add roboflow/notebooksInstalls into whichever agent you are using.
README
notebooks | inference | autodistill | RF-DETR
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This repository offers a growing collection of computer vision tutorials. Learn to use SOTA models like YOLOv11, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5-VL for tasks ranging from object detection, segmentation, and pose estimation to data extraction and OCR. Dive in and explore the exciting world of computer vision!
<!--- AUTOGENERATED-NOTEBOOKS-TABLE --> <!--- WARNING: DO NOT EDIT THIS TABLE MANUALLY. IT IS AUTOMATICALLY GENERATED. HEAD OVER TO CONTRIBUTING.MD FOR MORE DETAILS ON HOW TO MAKE CHANGES PROPERLY. -->🚀 model tutorials (61 notebooks)
| notebook | open in colab / kaggle / sagemaker studio lab | complementary materials | repository / paper |
|:------------:|:-------------------------------------------------:|:---------------------------:|:----------------------:|
| RF-DETR Keypoint Detection and Fine-Tuning | 
| | 
|
| Object Detection with Google Gemini 3.5 Flash | | | |
| How to Perform OCR with GLM-OCR | | 
| 
|
| How to Track Objects with RF-DETR and ByteTrack Tracker | | | 
|
| Fine-Tune YOLO26 on Object Detection Dataset | | 
| |
| Fine-Tune YOLO26 on Instance Segmentation Dataset | | | |
| Segment Images with SAM3 | | | 
|
| Segment Videos with SAM3 | | | [](https://github.com/facebookresearch/sam3
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