Automated population estimation & localization for displacement camps using overhead imagery

We introduce a deep learning approach for estimating and localizing population counts in displacement camps using high-resolution overhead imagery. Trained on census data from refugee camps in Cox’s Bazar, Bangladesh, the model achieved strong accuracy on unseen data. This work is a step toward building tools that can help the humanitarian community respond more effectively and rapidly to global displacement challenges.