Research Project on Mosquito Breeding Site Identification via Drone Images
Participated in a research project focused on identifying mosquito breeding sites using drone images. Labeled drone-captured images to facilitate machine learning models in detecting breeding sites. The process involved careful image examination and categorization according to predefined criteria. • Contributed to dataset creation for supervised learning algorithms. • Ensured high accuracy in labeling by following strict guidelines. • Collaborated with research team to review and validate image labels. • Used results to improve detection algorithms for public health initiatives.