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@@ -45,6 +45,7 @@ Welcome to Ultralytics Notebooks! This repository provides ready-to-use [Google
 | <a href="https://docs.ultralytics.com/guides/trackzone/">Track Objects in a 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/SMSJvjUG1ko"><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 on [tracking objects](https://docs.ultralytics.com/modes/track/) within specific zones using computer vision. 🎯                                                 |
 | Inference using <a href="https://docs.ultralytics.com/models/sam/">SAM</a> and <a href="https://docs.ultralytics.com/models/sam-2/">SAM2</a> with Ultralytics | <a href="https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/inference-with-meta-sam-and-sam2-using-ultralytics-python-package.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>                | <a href="https://youtu.be/yXQPLMrNX2s"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> | [Find](https://github.com/orgs/ultralytics/discussions/14830) more information about Meta's [Segment Anything Model (SAM)](https://ai.meta.com/research/publications/segment-anything/). ✨                                                     |
 | <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 the [crack segmentation dataset](https://docs.ultralytics.com/datasets/segment/crack-seg/) and its applications. 🧱                                             |
+| <a href="https://docs.ultralytics.com/modes/val/">Ultralytics YOLO Model Validation and Results Export</a>                                                    | <a href=""><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab">                                                                                                                                                                              | Coming Soon                                                                                                                                                                                                     | [Find](https://github.com/orgs/ultralytics/discussions/8153) more information about the Model Validation process.                                                                                                                               |
 
 ## 💡 Contribute