Data Challenges in Africa
Daniel discusses the scarcity of labeled datasets in Africa, particularly for land use cases, highlighting the need for crowdsourcing efforts to label existing satellite imagery. He emphasizes the high costs associated with data labeling in the region and shares his approach to preparing satellite data for deep learning by utilizing Google Earth images and preprocessing techniques.In this clip
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