iNaturalist
Data Skeptic
Accuracy of AI Model in iNaturalist
The chapter explores the precision of the AI model utilized in iNaturalist, focusing on the error rates within data labeling and validation processes. It covers aspects such as the percentages of correct, uncertain, and incorrect data in the research grade subset, challenges in validating data for rare species, the AI's performance with around 86,000 species, and regional accuracy variations. Additionally, it emphasizes the collaborative and evolving nature of iNaturalist, highlighting how the AI system's accuracy aligns with trained human observers' capabilities.
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