Update README.md

README.md

@@ -61,7 +61,6 @@ We have prepared dedicated splits within the OmniCount-191 dataset to facilitate
 **BibTeX:**
 
 ```
-
 @article{mondal2024omnicount,
   title={OmniCount: Multi-label Object Counting with Semantic-Geometric Priors},
   author={Mondal, Anindya and Nag, Sauradip and Zhu, Xiatian and Dutta, Anjan},
@@ -77,4 +76,7 @@ We have prepared dedicated splits within the OmniCount-191 dataset to facilitate
 
 ## Dataset Card Contact
 
-{a[dot]mondal, s[dot]nag, xiatian[dot]zhu, anjan[dot]dutta}[at]surrey[dot]ac[dot]uk
+{a[dot]mondal, s[dot]nag, xiatian[dot]zhu, anjan[dot]dutta}[at]surrey[dot]ac[dot]uk
+
+## License
+Object counting has legitimate commercial applications in urban planning, event logistics, and consumer behavior analysis. However, said technology concurrently facilitates human surveillance capabilities, which unscrupulous actors may intentionally or unintentionally misappropriate for nefarious purposes. As such, we must exercise reasoned skepticism towards any downstream deployment of our research that enables the monitoring of individuals without proper legal safeguards and ethical constraints. Therefore, in an effort to mitigate foreseeable misuse and uphold principles of privacy and civil liberties, we will hereby release all proprietary source code pursuant to the Open RAIL-S License, which expressly prohibits exploitative applications through robust contractual obligations and liabilities.