M. Jalal, K. Wang, S. Jefferson, Y. Zheng, E. O. Nsoesie, and M. Betke. Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. To be published in MADiMA 2019, the 5th International Workshop on Multimedia Assisted Dietary Management. In conjunction with the 27th ACM International Conference on Multimedia (ACMMMM 2019) Nice, France, October 21, 2019. 10 pages.
Kenyan104K dataset: https://drive.google.com/open?id=1_ZA3bXnRnGIq-8yBtCXNB8MlBXjWMGKA
KenyanFood13 dataset: https://drive.google.com/open?id=1CHnTy4XqGowT2chCBBxZ8rdYxMC1bwTc
Link to ArXiv paper: https://arxiv.org/abs/1909.00134
This research was partially funded by the following awards:
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NSF Award #1838193 BIGDATA: IA: Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages
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Hariri Institute for Computing and Computational Science & Engineering at Boston University
Kaihong Wang*, Mona Jalal*, Jefferson Sankara, Yi Zheng, Elaine Nsoesie, Margrit Betke