Notebooks

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notebooks | inference | autodistill | RF-DETR

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👋 hello

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!

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🚀 model tutorials (59 notebooks)

| notebook | open in colab / kaggle / sagemaker studio lab | complementary materials | repository / paper | |:------------:|:-------------------------------------------------:|:---------------------------:|:----------------------:| | 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 | | | | | Open Vocabulary Object Detection with Qwen3-VL | | | | | Fine-Tune RF-DETR Segmentation on Custom Dataset | [](https://kaggle.com/kernels/welcome?src=https://github.com/roboflow-