Aedes aegypti Egg Image Data Set

The Mosqlimate Aedes aegypti Egg Image Dataset comprises 700 high-quality JPEG images meticulously curated to provide a comprehensive view of pallets housing Aedes aegypti eggs. This dataset, generated through a collaboration between the Mosqlimate group and the Fundação Oswaldo Cruz Entomology Laboratory, aims to address the pressing need for improved methods to monitor and control Aedes aegypti populations, which are vectors for diseases such as dengue, Zika, and chikungunya. We believe that this dataset will serve as a foundational resource for researchers in entomology, epidemiology, computer science, and public health, facilitating advancements in automated surveillance and control strategies. It also holds potential for educational purposes, aiding in the teaching of image analysis, computer vision, and technology application in public health.Mosqlimate埃及伊蚊卵图像数据集包含700张高质量JPEG图像，经精心甄选，全面呈现了承载埃及伊蚊（Aedes aegypti）卵的托盘的全貌。该数据集由Mosqlimate研究团队与奥斯瓦尔多·克鲁兹基金会昆虫学实验室合作打造，旨在解决当前亟需优化埃及伊蚊种群监测与防控方法的迫切需求——埃及伊蚊是登革热、寨卡病毒病及基孔肯雅热等传染病的传播媒介。 我们认为，本数据集将成为昆虫学、流行病学、计算机科学与公共卫生领域研究者的基础性资源，助力自动化监测与防控策略的技术升级。同时，该数据集也具备教育应用潜力，可辅助开展图像分析、计算机视觉及公共卫生技术应用相关的教学工作。