Update README.md

README.md

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 [![hfpaper](https://img.shields.io/badge/🤗HugginngFace-Paper-yellow)](https://huggingface.co/papers/2401.17270)
 [![license](https://img.shields.io/badge/License-GPLv3.0-blue)](LICENSE)
 [![yoloworldseg](https://img.shields.io/badge/YOLOWorldxEfficientSAM-🤗Spaces-orange)](https://huggingface.co/spaces/SkalskiP/YOLO-World)
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 </div>
 </div>
 
 
 ## Updates 
+`🔥[2024-2-22]:` We sincerely thank [RoboFlow](https://roboflow.com/) and [@Skalskip92](https://twitter.com/skalskip92) for the [**Video Guide**](https://www.youtube.com/watch?v=X7gKBGVz4vs) about YOLO-World, nice work!  
 `🔥[2024-2-18]:` We thank [@Skalskip92](https://twitter.com/skalskip92) for developing the wonderful segmentation demo via connecting YOLO-World and EfficientSAM. You can try it now at the [🤗 HuggingFace Spaces](https://huggingface.co/spaces/SkalskiP/YOLO-World).   
-`🔥[2024-2-17]:` The largest model **X** of YOLO-World is released, which achieves better zero-shot performance!   
-`🔥[2024-2-17]:` We release the code & models for **YOLO-World-Seg** now! YOLO-World now supports open-vocabulary / zero-shot object segmentation!  
+`[2024-2-17]:` The largest model **X** of YOLO-World is released, which achieves better zero-shot performance!   
+`[2024-2-17]:` We release the code & models for **YOLO-World-Seg** now! YOLO-World now supports open-vocabulary / zero-shot object segmentation!  
 `[2024-2-15]:` The pre-traind YOLO-World-L with CC3M-Lite is released!     
 `[2024-2-14]:` We provide the [`image_demo`](demo.py) for inference on images or directories.   
 `[2024-2-10]:` We provide the [fine-tuning](./docs/finetuning.md) and [data](./docs/data.md) details for fine-tuning YOLO-World on the COCO dataset or the custom datasets!  
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 `[2024-1-31]:` We are excited to launch **YOLO-World**, a cutting-edge real-time open-vocabulary object detector.  
 
 
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 ## TODO
 
 YOLO-World is under active development and please stay tuned ☕️!