roboflow/notebooks

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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!

🚀 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 | | | | | Open Vocabulary Object Detection with Qwen3-VL | | | | | Fine-Tune RF-DETR Segmentation on Custom Dataset | | | | | Zero-Shot Object Detection and Segmentation with Google Gemini 2.5 | | | | | Fine-Tune RF-DETR on Object Detection Dataset | | | | | Zero-Shot Object Detection and Segmentation with YOLOE | | | | | Fine-Tune YOLOv12 on Object Detection Dataset | | | | | Zero-Shot Object Detection with Qwen2.5-VL | | | | | Fine-Tune Qwen2.5-VL for JSON Data Extraction | | | | | Fine-Tune PaliGemma2 on Object Detection Dataset | | | | | Fine-Tune PaliGemma2 for JSON Data Extraction | | | | | Fine-Tune PaliGemma2 for LaTeX OCR | | | | | Fine-Tune SAM-2.1 | | | | | Fine-Tune GPT-4o on Object Detection Dataset | | | | | Fine-Tune YOLO11 on Object Detection Dataset | | | | | Fine-Tune YOLO11 on Instance Segmentation Dataset | [![Kaggle](https://kaggle.com/static/images/open-in-ka