Goal

The goal of this project is to leverage Amazon Web Service's machine learning services to create a dataset that automatically adds and updates files on IEEE DataPort's S3 storage. Through this process, we sought to learn and demonstrate how an ongoing data collection script can create a shared living dataset by streaming data to our IEEE DataPort dataset storage. In the process, we also hoped to gain further insights into areas including:

DOI Link: 
10.21227/c3te-yc22
Links or DOI: 
GitHub Code Repository
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Dataset Files

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Documentation: 
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File README.md22.8 KB
[1] Sean Winter, "Using AWS rekognition to find trending Celebrities", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/c3te-yc22. Accessed: Dec. 26, 2024.
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Sean Winter. (2023). Using AWS rekognition to find trending Celebrities. IEEE Dataport. http://dx.doi.org/10.21227/c3te-yc22
Sean Winter, 2023. Using AWS rekognition to find trending Celebrities. Available at: http://dx.doi.org/10.21227/c3te-yc22.
Sean Winter. (2023). "Using AWS rekognition to find trending Celebrities." Web.
1. Sean Winter. Using AWS rekognition to find trending Celebrities [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/c3te-yc22
Sean Winter. "Using AWS rekognition to find trending Celebrities." doi: 10.21227/c3te-yc22