Update README.md

README.md

@@ -1,7 +1,16 @@
 ---
 comments: true
-description: Explore the Ultralytics COCO8 dataset, a versatile and manageable set of 8 images perfect for testing object detection models and training pipelines.
-keywords: COCO8, Ultralytics, dataset, object detection, YOLO11, training, validation, machine learning, computer vision
+description: >-
+  Explore the Ultralytics COCO8 dataset, a versatile and manageable set of 8
+  images perfect for testing object detection models and training pipelines.
+keywords: >-
+  COCO8, Ultralytics, dataset, object detection, YOLO11, training, validation,
+  machine learning, computer vision
+license: agpl-3.0
+task_categories:
+- object-detection
+size_categories:
+- n<1K
 ---
 
 # COCO8 Dataset
@@ -10,17 +19,6 @@ keywords: COCO8, Ultralytics, dataset, object detection, YOLO11, training, valid
 
 [Ultralytics](https://www.ultralytics.com/) COCO8 is a small, but versatile [object detection](https://www.ultralytics.com/glossary/object-detection) dataset composed of the first 8 images of the COCO train 2017 set, 4 for training and 4 for validation. This dataset is ideal for testing and debugging object detection models, or for experimenting with new detection approaches. With 8 images, it is small enough to be easily manageable, yet diverse enough to test training pipelines for errors and act as a sanity check before training larger datasets.
 
-<p align="center">
-  <br>
-  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/uDrn9QZJ2lk"
-    title="YouTube video player" frameborder="0"
-    allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
-    allowfullscreen>
-  </iframe>
-  <br>
-  <strong>Watch:</strong> Ultralytics COCO Dataset Overview
-</p>
-
 This dataset is intended for use with Ultralytics [HUB](https://hub.ultralytics.com/) and [YOLO11](https://github.com/ultralytics/ultralytics).
 
 ## Dataset YAML
@@ -132,4 +130,4 @@ Mosaic augmentation, demonstrated in the COCO8 dataset, combines multiple images
 
 ### How can I validate my YOLO11 model trained on the COCO8 dataset?
 
-Validation of your YOLO11 model trained on the COCO8 dataset can be performed using the model's validation commands. You can invoke the validation mode via CLI or Python script to evaluate the model's performance using precise metrics. For detailed instructions, visit the [Validation](../../modes/val.md) page.
+Validation of your YOLO11 model trained on the COCO8 dataset can be performed using the model's validation commands. You can invoke the validation mode via CLI or Python script to evaluate the model's performance using precise metrics. For detailed instructions, visit the [Validation](../../modes/val.md) page.