Letting AI throw out empty frames first let volunteers focus on the photos that matter
⚠ Not yet claimed by the project owner or their organization. This information may not be completely accurate.
From public sources: Felidae writes that wind, shadows and moving plants set off its cameras, producing thousands of empty photos in a single batch. Running MegaDetector first removes those, and SpeciesNet then suggests species. Felidae reports that volunteers have annotated over two million images since 2021 this way. It does not publish accuracy or time-saved figures.
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- Environmental problem
- Environmental goal
- Setting
- AI's role
- What the AI does
- ML technique
- Scale