Update README.md

README.md

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 ## Evaluation - Pointwise accuracy:
-For pointwise accuracy, a prediction is considered correct if the predicted point lies inside the annotated ground truth bounding box. In order to evaluate your predictions, see [evaluation](evaluation/)
+For pointwise accuracy, a prediction is considered correct if the predicted point lies inside the annotated ground truth bounding box. In order to evaluate your predictions, see [evaluation](https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/evaluation)
+
+## Visualization:
+[Visualization](https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/visualization) contains scripts to generate frames with the ground truth box and the predicted point. 
+One should follow the prediction json format given in random_preds.json files. Here are a few visualizations generated:
+
 
 If you're using GroundingYouTube in your research or applications, please cite using this BibTeX:
 ```