Update README.md

README.md

@@ -25,7 +25,7 @@ CLIP is a neural network trained on a 400 million image-text pairs dataset to le
 Object candidate regions are first extracted from the input images using a Faster R-CNN model's pretrained Region Proposal Network. This rapidly identifies potential regions of interest. CLIP then encodes these proposed regions and textual object queries into high-dimensional embeddings suitable for comparison. Multiple phrasings of each query are averaged to obtain a robust representation. Finally, cosine similarity between regional embeddings and averaged query embeddings identifies the most semantically aligned regions for each specified object class.
 
 ## Results
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+Below is the original image
 
 <h3 align="center">Image</h3>
 <p align="center">