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RizwanMunawar merged 4 commits into from
Feb 5, 2025
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Add crack-seg notebook #34

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5ec2261
Add `crack-seg` notebook
RizwanMunawar Feb 4, 2025
1061b8b
Update README.md
RizwanMunawar Feb 4, 2025
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UltralyticsAssistant Feb 4, 2025
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Update README.md
RizwanMunawar Feb 4, 2025
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Expand Up @@ -40,6 +40,7 @@ Ultralytics Notebooks offers ready-to-use resources that streamline the testing
| <a href="https://docs.ultralytics.com/datasets/segment/package-seg/">Package Segmentation using Ultralytics YOLO</a> | <a href="https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-package-segmentation-dataset.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> | <a href="https://youtu.be/ZF7EAodHn1U"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> | [Share your ideas](https://github.com/orgs/ultralytics/discussions/18338) for advancing computer vision in manufacturing 🚀 |
| <a href="https://docs.ultralytics.com/guides/trackzone/">Track Objects in Zone using Ultralytics YOLO</a> | <a href="https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-track-the-objects-in-zone-using-ultralytics-yolo.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> | <a href="https://youtu.be/NAs-cfq9BDw"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> | [Join](https://github.com/orgs/ultralytics/discussions/17962) the conversation to share your ideas on tracking objects within specific zones using computer vision 🚀 |
| Automatic Number Plate Recognition with Ultralytics YOLO and OpenAI GPT-4o</a> | <a href="https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-use-ultralytics-yolo-with-openai-for-number-plate-recognition.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> | <a href="https://youtu.be/NAs-cfq9BDw"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> | Check out the [Ultralytics discussion section](https://github.com/orgs/ultralytics/discussions) for more information 🚀 |
| <a href="https://docs.ultralytics.com/datasets/segment/crack-seg/">Crack segmentation using Ultralytics YOLO</a> | <a href="https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> | <a href="https://youtu.be/C4mc40YKm-g"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> | [Get](https://github.com/orgs/ultralytics/discussions/9817) more insights about crack segmentation dataset 🚀 |

## 💡 Contribute

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