2026-10-14T19:40:30Z https://data.mendeley.com/oai

oai:data.mendeley.com/jd5txz2f7d.2 2024-09-05T19:42:39Z

Alves, Leon Aedes aegypti Egg Image Data Set Mendeley Data 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. Entomology Computational Biology Application Computational Biology Coelho, Flavio Lima, Jose Bellinato, Diogo Gonçalves, Joao Santos, Raquel Dataset doi:10.17632/jd5txz2f7d.2 oai:data.mendeley.com/jd5txz2f7d.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/jd5txz2f7d 2024-09-05T19:42:39Z