# notebooks
**Repository Path**: mirrors_ultralytics/notebooks
## Basic Information
- **Project Name**: notebooks
- **Description**: Ultralytics Notebooks 🚀
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-02-16
- **Last Updated**: 2026-02-15
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
[中文](https://docs.ultralytics.com/zh/) | [한국어](https://docs.ultralytics.com/ko/) | [日本語](https://docs.ultralytics.com/ja/) | [Русский](https://docs.ultralytics.com/ru/) | [Deutsch](https://docs.ultralytics.com/de/) | [Français](https://docs.ultralytics.com/fr/) | [Español](https://docs.ultralytics.com/es) | [Português](https://docs.ultralytics.com/pt/) | [Türkçe](https://docs.ultralytics.com/tr/) | [Tiếng Việt](https://docs.ultralytics.com/vi/) | [العربية](https://docs.ultralytics.com/ar/)
# 📚 Ultralytics Notebooks
Welcome to Ultralytics Notebooks! This repository provides ready-to-use [Google Colab](https://colab.research.google.com/) notebooks that streamline the testing and execution of [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) projects using [Ultralytics YOLO](https://docs.ultralytics.com/) 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](https://platform.ultralytics.com/ultralytics/yolo26).
| Notebook | Open in colab / kaggle / sagemaker studio | Supporting materials | Documentation / arXiv / Repository |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| Car Parts Segmentation using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-carparts-segmentation-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-carparts-segmentation-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-carparts-segmentation-dataset.ipynb)
| [](https://youtu.be/HATMPgLYAPU) [](https://docs.ultralytics.com/datasets/segment/carparts-seg/) [](https://www.ultralytics.com/blog/image-segmentation-with-ultralytics-yolo11-on-google-colab)
| [](https://docs.ultralytics.com/datasets/segment/carparts-seg/) [](https://github.com/ultralytics/ultralytics)
|
| Ultralytics YOLO with SAHI Tiled Inference | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-ultralytics-yolo-with-sahi.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-use-ultralytics-yolo-with-sahi.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-ultralytics-yolo-with-sahi.ipynb)
| [](https://youtu.be/tq3FU_QczxE) [](https://docs.ultralytics.com/datasets/detect/brain-tumor/)
| [](https://docs.ultralytics.com/datasets/detect/brain-tumor/) [](https://github.com/obss/sahi)
|
| Medical Pills Detection using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-medical-pills-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-medical-pills-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-medical-pills-dataset.ipynb)
| [](https://youtu.be/8gePl_Zcs5c) [](https://docs.ultralytics.com/datasets/detect/medical-pills/) [](https://www.ultralytics.com/blog/a-deep-dive-into-detecting-pills-using-ultralytics-yolo11)
| [](https://docs.ultralytics.com/datasets/detect/medical-pills/)
|
| Brain Tumor Detection using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-brain-tumor-detection-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-brain-tumor-detection-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-brain-tumor-detection-dataset.ipynb)
| [](https://youtu.be/ogTBBD8McRk) [](https://docs.ultralytics.com/datasets/detect/brain-tumor/) [](https://www.ultralytics.com/blog/using-yolo11-for-tumor-detection-in-medical-imaging)
| [](https://docs.ultralytics.com/datasets/detect/brain-tumor/)
|
| Object Counting using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-count-the-objects-using-ultralytics-yolo.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-count-the-objects-using-ultralytics-yolo.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-count-the-objects-using-ultralytics-yolo.ipynb)
| [](https://youtu.be/vKcD44GkSF8)
| [](https://docs.ultralytics.com/guides/object-counting/)
|
| Google Gemini Model for Object Detection, Image Captioning and OCR with Ultralytics Utilities | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-google-gemini-models-for-object-detection-image-captioning-and-ocr.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-use-google-gemini-models-for-object-detection-image-captioning-and-ocr.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-google-gemini-models-for-object-detection-image-captioning-and-ocr.ipynb)
| [](https://youtu.be/ottsAmFdbmU) [](https://www.ultralytics.com/blog/get-hands-on-with-google-gemini-2-5-for-computer-vision-tasks)
| [](https://arxiv.org/abs/2507.06261) [](https://developers.googleblog.com/en/gemini-25-flash-lite-is-now-stable-and-generally-available/) [](https://github.com/google-gemini/gemini-cli)
|
| Automatic Number Plate Recognition with Ultralytics YOLO and OpenAI GPT-4o | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-ultralytics-yolo-with-openai-for-number-plate-recognition.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-use-ultralytics-yolo-with-openai-for-number-plate-recognition.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-ultralytics-yolo-with-openai-for-number-plate-recognition.ipynb)
| [](https://youtu.be/HS3Ta7c0zuI) [](https://www.ultralytics.com/blog/build-an-anpr-system-with-ultralytics-yolo11-and-gpt-4o-mini)
| [](https://openai.com/news/)
|
| Microsoft Florence-2 for Object Detection, Image Captioning, OCR and Segmentation with Ultralytics Package | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb)
| [](https://youtu.be/ojoYESWLw5Q) [](https://www.ultralytics.com/blog/florence-2-microsofts-latest-vision-language-model)
| [](https://arxiv.org/abs/2311.06242)
|
| Export Validation Results in Pandas Dataframe, CSV, SQL and Other Formats.ipynb | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-export-the-validation-results-into-dataframe-csv-sql-and-other-formats.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-export-the-validation-results-into-dataframe-csv-sql-and-other-formats.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-export-the-validation-results-into-dataframe-csv-sql-and-other-formats.ipynb)
| [](https://youtu.be/j8uQc0qB91s)
| [](https://github.com/orgs/ultralytics/discussions/8153)
|
| HomeObjects-3K Dataset for Everyday Object Detection | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-homeobjects-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-homeobjects-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-homeobjects-dataset.ipynb)
| [](https://youtu.be/v3iqOYoRBFQ) [](https://docs.ultralytics.com/datasets/detect/homeobjects-3k/)
| [](https://docs.ultralytics.com/datasets/detect/homeobjects-3k/)
|
| Generate Heatmaps using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-generate-heatmaps-using-ultralytics-yolo.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-generate-heatmaps-using-ultralytics-yolo.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-generate-heatmaps-using-ultralytics-yolo.ipynb)
| [](https://youtu.be/4ezde5-nZZw) [](https://www.ultralytics.com/blog/ultralytics-yolo11-and-computer-vision-in-smart-supermarkets)
| [](https://docs.ultralytics.com/guides/heatmaps/)
|
| Monitor Your Workouts using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-monitor-workouts-using-ultralytics-yolo.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-monitor-workouts-using-ultralytics-yolo.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-monitor-workouts-using-ultralytics-yolo.ipynb)
| [](https://youtu.be/LGGxqLZtvuw) [](https://www.ultralytics.com/blog/smart-fitness-technology-enabled-by-ultralytics-yolo11)
| [](https://docs.ultralytics.com/guides/workouts-monitoring/)
|
| Package Segmentation using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-package-segmentation-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-package-segmentation-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-package-segmentation-dataset.ipynb)
| [](https://youtu.be/ZF7EAodHn1U) [](https://docs.ultralytics.com/datasets/segment/package-seg/) [](https://www.ultralytics.com/blog/package-identification-and-segmentation-with-ultralytics-yolo11)
| [](https://docs.ultralytics.com/datasets/segment/package-seg/)
|
| Track Objects in a Zone using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-track-the-objects-in-zone-using-ultralytics-yolo.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-track-the-objects-in-zone-using-ultralytics-yolo.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-track-the-objects-in-zone-using-ultralytics-yolo.ipynb)
| [](https://youtu.be/SMSJvjUG1ko)
| [](https://docs.ultralytics.com/guides/trackzone/)
|
| Inference using SAM and SAM2 with Ultralytics | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/inference-with-meta-sam-and-sam2-using-ultralytics-python-package.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/inference-with-meta-sam-and-sam2-using-ultralytics-python-package.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/inference-with-meta-sam-and-sam2-using-ultralytics-python-package.ipynb)
| [](https://youtu.be/yXQPLMrNX2s) [](https://www.ultralytics.com/blog/applications-of-meta-ai-segment-anything-model-2-sam-2)
| [](https://arxiv.org/abs/2408.00714) [](https://github.com/facebookresearch/sam2)
|
| Crack Segmentation using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb)
| [](https://youtu.be/C4mc40YKm-g) [](https://docs.ultralytics.com/datasets/segment/crack-seg/) [](https://www.ultralytics.com/blog/using-ai-for-crack-detection-and-segmentation)
| [](https://docs.ultralytics.com/datasets/segment/crack-seg/)
|
| Queue Management using Ultralytics Solutions | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-monitor-objects-in-queue-using-queue-management-solution.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-monitor-objects-in-queue-using-queue-management-solution.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-monitor-objects-in-queue-using-queue-management-solution.ipynb)
| [](https://youtu.be/gX5kSRD56Gs) [](https://www.ultralytics.com/blog/a-look-at-real-time-queue-monitoring-enabled-by-computer-vision)
| [](https://docs.ultralytics.com/guides/queue-management/)
|
| Construction-PPE Detection using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-construction-ppe-detection-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-construction-ppe-detection-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-construction-ppe-detection-dataset.ipynb)
| [](https://youtu.be/lFaVnrhMmaE) [](https://docs.ultralytics.com/datasets/detect/construction-ppe/) [](https://www.ultralytics.com/blog/ai-in-construction-saving-lives-cutting-costs-and-elevating-quality)
| [](https://docs.ultralytics.com/datasets/detect/construction-ppe/)
|
| Object Detection with KITTI using Ultralytics YOLO | [](https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-kitti-detection-dataset.ipynb) [](https://kaggle.com/kernels/welcome?src=https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-kitti-detection-dataset.ipynb) [](https://studiolab.sagemaker.aws/import/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-kitti-detection-dataset.ipynb)
| [](https://youtu.be/NNeDlTbq9pA) [](https://docs.ultralytics.com/datasets/detect/kitti/)
| [](https://docs.ultralytics.com/datasets/detect/kitti/)
|
## 💡 Contribute
Ultralytics thrives on community collaboration, and we deeply value your involvement in our [open-source](https://github.com/ultralytics) projects! We encourage you to explore our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) for detailed insights on how you can participate. Please share your feedback with us by contributing to our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A heartfelt thank you 🙏 goes out to everyone who has already contributed!
[](https://github.com/ultralytics/ultralytics/graphs/contributors)
## 📄 License
Ultralytics offers two distinct licensing options to accommodate various use cases:
- **AGPL-3.0 License**: This official [OSI-approved](https://opensource.org/license/agpl-v3) open-source license is ideal for students, enthusiasts, and researchers who value open collaboration and knowledge sharing. See the [LICENSE](https://github.com/ultralytics/ultralytics/blob/main/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](https://www.ultralytics.com/license).
## 📮 Contact
For bug reports or feature suggestions related to Ultralytics projects, please submit an issue via [GitHub Issues](https://github.com/ultralytics/ultralytics/issues). You are also welcome to join our [Discord](https://discord.com/invite/ultralytics) community for discussions, questions, and collaboration with other users and the Ultralytics team! For general inquiries, visit the [Ultralytics website](https://www.ultralytics.com/).
