ELIE – Entomological Label Information Extraction

ELIE (Entomological Label Information Extraction) is a semi-automated pipeline designed to extract structured metadata from digitized insect specimen labels using deep learning and OCR. This overarching dataset compiles and standardizes annotated labels from seven major digitization projects, supporting research in biodiversity informatics and AI. The pipeline uses CNNs, Tesseract, Google Vision OCR, and clustering, achieving up to 91.6% accuracy on printed labels. ELIE accelerates museum digitization and enhances access to legacy biodiversity data.