My malaria classifier said a car photo was infected. Here's what I did about it.
This story is from 2026-10-15. It is preserved in the archive; the latest stories are on the live feed.
I trained a CNN to tell parasitized blood cells from uninfected ones, got 95.28% test accuracy, deployed it on Streamlit, and felt pretty good about it. Then I uploaded a photo of a flower to my own app. It told me the flower was Parasitized . That one result changed what the project was about. Thi…
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- 2026-10-15 12:07 · DEV Community — Machine Learning
My malaria classifier said a car photo was infected. Here's what I did about it.