notebooks/docs/notebooks-data.yml at main · ultralytics/notebooks · GitHub

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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license

# This file contains all information about the notebooks, including their titles, links,
# and other relevant resources, i.e., blog, dataset, YouTube, documentation, GitHub, etc. Any modifications made here are
# automatically rendered to the README.md file, ensuring that the table remains up to date.

notebooks:
  - title: "Car Parts Segmentation using Ultralytics YOLO"
    file: "notebooks/how-to-train-ultralytics-yolo-on-carparts-segmentation-dataset.ipynb"
    youtube: "https://youtu.be/HATMPgLYAPU"
    blog: "https://www.ultralytics.com/blog/image-segmentation-with-ultralytics-yolo11-on-google-colab"
    documentation: "https://docs.ultralytics.com/datasets/segment/carparts-seg/"
    github: "https://github.com/ultralytics/ultralytics"
    dataset: "https://docs.ultralytics.com/datasets/segment/carparts-seg/"

  - title: "Ultralytics YOLO with SAHI Tiled Inference"
    file: "notebooks/how-to-use-ultralytics-yolo-with-sahi.ipynb"
    youtube: "https://youtu.be/tq3FU_QczxE"
    documentation: "https://docs.ultralytics.com/datasets/detect/brain-tumor/"
    github: "https://github.com/obss/sahi"
    dataset: "https://docs.ultralytics.com/datasets/detect/brain-tumor/"

  - title: "Medical Pills Detection using Ultralytics YOLO"
    file: "notebooks/how-to-train-ultralytics-yolo-on-medical-pills-dataset.ipynb"
    youtube: "https://youtu.be/8gePl_Zcs5c"
    blog: "https://www.ultralytics.com/blog/a-deep-dive-into-detecting-pills-using-ultralytics-yolo11"
    documentation: "https://docs.ultralytics.com/datasets/detect/medical-pills/"
    dataset: "https://docs.ultralytics.com/datasets/detect/medical-pills/"

  - title: "Brain Tumor Detection using Ultralytics YOLO"
    file: "notebooks/how-to-train-ultralytics-yolo-on-brain-tumor-detection-dataset.ipynb"
    youtube: "https://youtu.be/ogTBBD8McRk"
    blog: "https://www.ultralytics.com/blog/using-yolo11-for-tumor-detection-in-medical-imaging"
    documentation: "https://docs.ultralytics.com/datasets/detect/brain-tumor/"
    dataset: "https://docs.ultralytics.com/datasets/detect/brain-tumor/"

  - title: "Object Counting using Ultralytics YOLO"
    file: "notebooks/how-to-count-the-objects-using-ultralytics-yolo.ipynb"
    youtube: "https://youtu.be/vKcD44GkSF8"
    documentation: "https://docs.ultralytics.com/guides/object-counting/"

  - title: "Google Gemini Model for Object Detection, Image Captioning and OCR with Ultralytics Utilities"
    file: "notebooks/how-to-use-google-gemini-models-for-object-detection-image-captioning-and-ocr.ipynb"
    youtube: "https://youtu.be/ottsAmFdbmU"
    blog: "https://www.ultralytics.com/blog/get-hands-on-with-google-gemini-2-5-for-computer-vision-tasks"
    documentation: "https://developers.googleblog.com/en/gemini-25-flash-lite-is-now-stable-and-generally-available/"
    github: "https://github.com/google-gemini/gemini-cli"
    arxiv: "https://arxiv.org/abs/2507.06261"

  - title: "Automatic Number Plate Recognition with Ultralytics YOLO and OpenAI GPT-4o"
    file: "notebooks/how-to-use-ultralytics-yolo-with-openai-for-number-plate-recognition.ipynb"
    youtube: "https://youtu.be/HS3Ta7c0zuI"
    blog: "https://www.ultralytics.com/blog/build-an-anpr-system-with-ultralytics-yolo11-and-gpt-4o-mini"
    documentation: "https://openai.com/news/"

  - title: "Microsoft Florence-2 for Object Detection, Image Captioning, OCR and Segmentation with Ultralytics Package"
    file: "notebooks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb"
    youtube: "https://youtu.be/ojoYESWLw5Q"
    blog: "https://www.ultralytics.com/blog/florence-2-microsofts-latest-vision-language-model"
    arxiv: "https://arxiv.org/abs/2311.06242"

  - title: "Export Validation Results in Pandas Dataframe, CSV, SQL and Other Formats.ipynb"
    file: "notebooks/how-to-export-the-validation-results-into-dataframe-csv-sql-and-other-formats.ipynb"
    youtube: "https://youtu.be/j8uQc0qB91s"
    documentation: "https://github.com/orgs/ultralytics/discussions/8153"

  - title: "HomeObjects-3K Dataset for Everyday Object Detection"
    file: "notebooks/how-to-train-ultralytics-yolo-on-homeobjects-dataset.ipynb"
    youtube: "https://youtu.be/v3iqOYoRBFQ"
    documentation: "https://docs.ultralytics.com/datasets/detect/homeobjects-3k/"
    dataset: "https://docs.ultralytics.com/datasets/detect/homeobjects-3k/"

  - title: "Generate Heatmaps using Ultralytics YOLO"
    file: "notebooks/how-to-generate-heatmaps-using-ultralytics-yolo.ipynb"
    youtube: "https://youtu.be/4ezde5-nZZw"
    blog: "https://www.ultralytics.com/blog/ultralytics-yolo11-and-computer-vision-in-smart-supermarkets"
    documentation: "https://docs.ultralytics.com/guides/heatmaps/"

  - title: "Monitor Your Workouts using Ultralytics YOLO"
    file: "notebooks/how-to-monitor-workouts-using-ultralytics-yolo.ipynb"
    youtube: "https://youtu.be/LGGxqLZtvuw"
    blog: "https://www.ultralytics.com/blog/smart-fitness-technology-enabled-by-ultralytics-yolo11"
    documentation: "https://docs.ultralytics.com/guides/workouts-monitoring/"

  - title: "Package Segmentation using Ultralytics YOLO"
    file: "notebooks/how-to-train-ultralytics-yolo-on-package-segmentation-dataset.ipynb"
    youtube: "https://youtu.be/ZF7EAodHn1U"
    blog: "https://www.ultralytics.com/blog/package-identification-and-segmentation-with-ultralytics-yolo11"
    documentation: "https://docs.ultralytics.com/datasets/segment/package-seg/"
    dataset: "https://docs.ultralytics.com/datasets/segment/package-seg/"

  - title: "Track Objects in a Zone using Ultralytics YOLO"
    file: "notebooks/how-to-track-the-objects-in-zone-using-ultralytics-yolo.ipynb"
    youtube: "https://youtu.be/SMSJvjUG1ko"
    documentation: "https://docs.ultralytics.com/guides/trackzone/"

  - title: "Inference using SAM, SAM2 and SAM3 with Ultralytics"
    file: "notebooks/inference-with-meta-sam-and-sam2-using-ultralytics-python-package.ipynb"
    youtube: "https://youtu.be/yXQPLMrNX2s"
    blog: "https://www.ultralytics.com/blog/applications-of-meta-ai-segment-anything-model-2-sam-2"
    arxiv: "https://arxiv.org/abs/2408.00714"
    github: "https://github.com/facebookresearch/sam2"

  - title: "Crack Segmentation using Ultralytics YOLO"
    file: "notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb"
    youtube: "https://youtu.be/C4mc40YKm-g"
    blog: "https://www.ultralytics.com/blog/using-ai-for-crack-detection-and-segmentation"
    documentation: "https://docs.ultralytics.com/datasets/segment/crack-seg/"
    dataset: "https://docs.ultralytics.com/datasets/segment/crack-seg/"

  - title: "Queue Management using Ultralytics Solutions"
    file: "notebooks/how-to-monitor-objects-in-queue-using-queue-management-solution.ipynb"
    youtube: "https://youtu.be/gX5kSRD56Gs"
    blog: "https://www.ultralytics.com/blog/a-look-at-real-time-queue-monitoring-enabled-by-computer-vision"
    documentation: "https://docs.ultralytics.com/guides/queue-management/"

  - title: "Construction-PPE Detection using Ultralytics YOLO"
    file: "notebooks/how-to-train-ultralytics-yolo-on-construction-ppe-detection-dataset.ipynb"
    youtube: "https://youtu.be/lFaVnrhMmaE"
    blog: "https://www.ultralytics.com/blog/ai-in-construction-saving-lives-cutting-costs-and-elevating-quality"
    documentation: "https://docs.ultralytics.com/datasets/detect/construction-ppe/"
    dataset: "https://docs.ultralytics.com/datasets/detect/construction-ppe/"

  - title: "Object Detection with KITTI using Ultralytics YOLO"
    file: "notebooks/how-to-train-ultralytics-yolo-on-kitti-detection-dataset.ipynb"
    youtube: "https://youtu.be/NNeDlTbq9pA"
    blog: ""
    documentation: "https://docs.ultralytics.com/datasets/detect/kitti/"
    dataset: "https://docs.ultralytics.com/datasets/detect/kitti/"