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+++ b/README.md
@@ -18,7 +18,7 @@ PyTorch implementation and pretrained models for DINOv2. For details, see the pa
 
 DINOv2 models produce high-performance visual features that can be directly employed with classifiers as simple as linear layers on a variety of computer vision tasks; these visual features are robust and perform well across domains without any requirement for fine-tuning. The models were pretrained on a dataset of 142 M images without using any labels or annotations.
 
-https://user-images.githubusercontent.com/60359573/230078733-5faffa19-e6ce-4c55-9200-62dd76f8236a.mp4
+https://github.com/facebookresearch/dinov2/assets/60359573/f168823e-7922-415a-b429-578badf5c356
 
 <div align="center">
   Visualization of the three first principal components of the patch features of all frames, mapped to RGB values.