notebooks

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📚 Ultralytics Notebooks

Welcome to Ultralytics Notebooks! This repository provides ready-to-use Google Colab notebooks that streamline the testing and execution of computer vision projects using Ultralytics YOLO models. These resources make it easy to set up environments, run models quickly, and experiment with various features offered by the Ultralytics ecosystem, including training, validation, inference, and export, often integrated with tools like Ultralytics Platform.

Explore YOLO tasks including Detect, Segment, Semantic, Depth, Classify, Pose, and OBB in the Ultralytics Docs.

The notebook catalog below is generated from docs/notebooks-data.yml, so the README stays aligned with the published Colab, Kaggle, and SageMaker Studio Lab links.

Notebook	Open in colab / kaggle / sagemaker studio	Supporting materials	Documentation / arXiv / Repository
Car Parts Segmentation using Ultralytics YOLO
High Resolution Tiling using Ultralytics YOLO		-
Medical Pills Detection using Ultralytics YOLO
Brain Tumor Detection using Ultralytics YOLO
Object Counting using Ultralytics YOLO
Google Gemini Model for Object Detection, Image Captioning and OCR with Ultralytics Utilities
Automatic Number Plate Recognition with Ultralytics YOLO and OpenAI GPT-4o
Microsoft Florence-2 for Object Detection, Image Captioning, OCR and Segmentation with Ultralytics Package
Export Validation Results in Pandas Dataframe, CSV, SQL and Other Formats
HomeObjects-3K Dataset for Everyday Object Detection
Generate Heatmaps using Ultralytics YOLO
Monitor Your Workouts using Ultralytics YOLO
Package Segmentation using Ultralytics YOLO
Track Objects in a Zone using Ultralytics YOLO
Inference using SAM, SAM2 and SAM3 with Ultralytics
Crack Segmentation using Ultralytics YOLO
Queue Management using Ultralytics Solutions
Construction-PPE Detection using Ultralytics YOLO
Object Detection with KITTI using Ultralytics YOLO

💡 Contribute

Ultralytics thrives on community collaboration, and we deeply value your involvement in our open-source projects! We encourage you to explore our Contributing Guide for detailed insights on how you can participate. Please share your feedback with us by contributing to our Survey. A heartfelt thank you 🙏 goes out to everyone who has already contributed!

📄 License

Ultralytics offers two distinct licensing options to accommodate various use cases:

• AGPL-3.0 License: This official OSI-approved open-source license is ideal for students, enthusiasts, and researchers who value open collaboration and knowledge sharing. See the LICENSE file for details.
• Enterprise License: Designed for commercial use, this license permits the seamless integration of Ultralytics software and AI models into commercial products and services, bypassing the open-source requirements of AGPL-3.0. If your scenario involves commercial deployment, please contact us through Ultralytics Licensing.

📮 Contact

For bug reports or feature suggestions related to this notebooks repository, please submit an issue via GitHub Issues. You are also welcome to join our Discord community for discussions, questions, and collaboration with other users and the Ultralytics team. For general inquiries, visit the Ultralytics website.