Update README.md

README.md

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 [BiomedCLIP](https://aka.ms/biomedclip-paper) is a biomedical vision-language foundation model that is pretrained on [PMC-15M](https://aka.ms/biomedclip-paper) dataset using contrastive learning.
 It uses PubMedBERT as the text encoder and Vision Transformer as the image encoder, with domain-specific adaptations.
 It can perform various vision-language processing (VLP) tasks such as cross-modal retrieval, image classification, and visual question answering. 
-BiomedCLIP establishes new state of the art in a wide range of standard datasets, and substantially outperforms prior VLP approaches.
+BiomedCLIP establishes new state of the art in a wide range of standard datasets, and substantially outperforms prior VLP approaches:
+
+![](biomed-vlp-eval.svg)
+
 
 ## Citation