alex6H/RefugeeCampShelterDetection-YOLOv8

This project automates detection and counting of shelters in a refugee camp to estimate population. A drone's high-def image is analyzed with YOLOv8 for detecting shelters and other categories. The SAHI library handles large images. The model is trained on data from various camps in DRC. Future work will explore segmentation with models like SAM

语言：Jupyter Notebook · GitHub 星标：4 · Fork：0

话题：computer-vision · deep-learning · disaster-response · drone · gis · humanitarian · machine-learning · object-detection

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