Update README.md

README.md

@@ -47,7 +47,7 @@ The **FrodoBots 1K Dataset** is a diverse collection of camera footage, GPS, IMU
 
 - If you're interested in playing the game (ie. remotely driving a FrodoBot), you may [**join our Discord to gain access**](https://discord.gg/frodobots) (all you need is a game controller & browser).
 
-> We want to express our sincere gratitude to the team at **BlurIt** for sponsoring our video redaction efforts (ie. blurring of faces & license plates). If you need help with anonymizing your images or videos, feel free to check out their website: https://blurit.io/en 
+> "We deeply appreciate the collaboration of the BlurIt team, who have been instrumental in helping us blur faces and license plates in our videos. Their dedication to pushing the boundaries of AI innovation and research is truly commendable and inspiring. If you're looking to protect privacy by redacting faces or license plates in your images or videos, their website is a valuable resource. Don't hesitate to explore their services to ensure your content remains both informative and anonymous. https://blurit.io/en
 
 | ![Left to right in Stanford.gif](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/UI7pts68FozvOEbIFHPef.gif) | 
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@@ -152,6 +152,12 @@ By sharing this dataset with the research community, we hope to see new innovati
 ## **Helper code**
 We've provided a helpercode.ipynb file that will hopefully serve as a quick-start for researchers to play around with the dataset. 
 
+## **About our partners**
+
+BlurIt
+
+BlurIt is a leading solution for data anonymization. A state-of-the-art AI solution that excels at blurring sensitive details, especially faces and license plates in images and videos. This is vital when personal identifiers are in visual content. BlurIt handles data privacy so that companies can focus on their core business. Our partnership with BlurIt emphasizes the growing need to balance data use with privacy. This partnership underscores our commitment to responsible data handling and privacy protection.
+
 ## **Contributions**
 
 The team at FrodoBots Lab created this dataset, including [Michael Cho](https://twitter.com/micoolcho), Sam Cho, Aaron Tung, Niresh Dravin & Jiamin Ho.