Citizen science and artificial intelligence for the identification and classification of drosophilas.
It is an educational tool in which high school students and teachers, researchers, and volunteers collaborate by taking and labeling images to train an artificial intelligence capable of identifying Drosophila (fruit fly) species. These images are used to train computer vision models that allow for the automatic identification and classification of different species.
DrosAI integrates citizen science, education, and FAIR technology to develop tools applied to the study and monitoring of biodiversity.
Current dataset status
Distribution of images by species within the project.
How does it work?
The process is designed so that students can participate in a guided and didactic methodology.
1. Image capture
Place the fly under the magnifying glass and take a stable photo with your mobile phone or upload it from your computer.
2. Upload and tag
Upload the image to your dashboard. The system analyzes the quality, detects the fly, and prepares the crop.
3. Collaborative algorithm training
With all valid images, we will build an open dataset and train artificial intelligence models to classify Drosophila.
Are you a teacher?
DrosAI is designed for use in classroom activities, laboratory projects, or science workshops. Each user account is associated with a school or institute, facilitating monitoring by teachers.
You can use the platform to support projects in: biology, evolution, taxonomy, programming, artificial intelligence, and scientific thinking.
