- Mosquito Alert AI Dataset: The Mosquito Alert project provides open datasets with tens of thousands of real-world mosquito images (including key species like Aedes, Culex, and Anopheles), collected through citizen science and labeled by experts for machine learning and AI training. These datasets are available for download and are widely used in both citizen science app development and academic AI research.mosquitoalert+1
- Kaggle MosquitoLarvae-7400 Classification: This Kaggle dataset includes over 7,000 microscope images of four medically important mosquito larvae species: Aedes aegypti, Aedes albopictus, Culex quinquefasciatus, and Anopheles cracens.kaggle
- MosquitoLarvae-7400 Classification
- Nature Mosquito Wing Image Repository: A comprehensive wing image repository hosts thousands of mosquito specimen images targeting robust species identification using deep learning techniques.nature
- Comprehensive Mosquito Wing Image Repository for Advancing Research on Geometric Morphometric- and AI-Based Identification | Semantic Scholar
- Omdena/Vectech MosID: This project has an extensive set of high-resolution images of whole mosquito bodies and individual body parts for AI-based species identification, even accommodating damaged specimens for wider field utility.omdena
- Identifying Mosquito Species Using Computer Vision – Omdena | Projects | Omdena