Mosquito surveillance,
powered by the crowd.
MosquitoDetect is a collaborative platform for collecting, annotating and analysing ovitrap substrate images. Human annotations and AI inference work together to accelerate mosquito egg counting at scale.
Record what you caught
Upload a photograph, or log a count made by hand — with site, date and coordinates either way.
Annotate and count
Click directly on eggs or mosquitoes in high-resolution photographs. Marks save instantly and are visible to the whole team.
AI-assisted detection
Run on-demand YOLO inference to auto-detect eggs, with adjustable confidence and IoU thresholds.
Interactive GIS map
See every record on a clustered, searchable map, with a heatmap, area totals and a season timeline.
In collaboration with
Department of Biology, Josip Juraj Strossmayer University of Osijek, Sovereign Base Areas Administration, Department of Horticulture and Forestry, Faculty of Agricultural, Forestry and Environmental Sciences, Technical University of Moldova, CYENS Centre of Excellence, University of Twente, Laboratory of Vector Ecology and Applied Entomology, Joint Services Health Unit, British Forces Cyprus, Enalia Physis Environmental Research Centre, CARE-C, The Cyprus Institute
Built by SCIOM and BioQuant
© 2025 MosquitoDetect
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What you get with MosquitoDetect
In collaboration with
Department of Biology, Josip Juraj Strossmayer University of Osijek, Sovereign Base Areas Administration, Department of Horticulture and Forestry, Faculty of Agricultural, Forestry and Environmental Sciences, Technical University of Moldova, CYENS Centre of Excellence, University of Twente, Laboratory of Vector Ecology and Applied Entomology, Joint Services Health Unit, British Forces Cyprus, Enalia Physis Environmental Research Centre, CARE-C, The Cyprus Institute
Built by SCIOM and BioQuant