Update README.md

README.md

@@ -40,7 +40,7 @@ Visual Question Answering (VQA), Object Detection (OD)
 
 #### Data Collection and Processing
 
-The data collection process for OmniCount-191 involved a team of 13 members who manually curated images from the web, released under Creative Commons (CC) licenses. The images were sourced using relevant keywords such as “Aerial Images”, “Supermarket Shelf”, “Household Fruits”, and “Many Birds and Ani- mals”. Initially, 40,000 images were considered, from which 30,230 images were selected based on the following criteria:
+The data collection process for OmniCount-191 involved a team of 13 members who manually curated images from the web, released under Creative Commons (CC) licenses. The images were sourced using relevant keywords such as “Aerial Images”, “Supermarket Shelf”, “Household Fruits”, and “Many Birds and Animals”. Initially, 40,000 images were considered, from which 30,230 images were selected based on the following criteria:
   1. **Object instances**: Each image must contain at least five object instances, aiming to challenge object enumeration in complex scenarios;
   2. **Image quality**: High-resolution images were selected to ensure clear object identification and counting;
   3. **Severe occlusion**: We excluded images with significant occlusion to maintain accuracy in object counting;
@@ -71,21 +71,10 @@ We have prepared dedicated splits within the OmniCount-191 dataset to facilitate
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-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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-[More Information Needed]
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-## More Information [optional]
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 ## Dataset Card Authors
 
 [Anindya Mondal](https://mondalanindya.github.io), [Sauradip Nag](http://sauradip.github.io/), [Xiatian Zhu](https://surrey-uplab.github.io), [Anjan Dutta](https://www.surrey.ac.uk/people/anjan-dutta)
 
 ## Dataset Card Contact
 
-[More Information Needed]
+{a[dot]mondal, s[dot]nag, xiatian[dot]zhu, anjan[dot]dutta}[at]surrey[dot]ac[dot]uk