Researchers have developed a machine learning model to automatically identify ivory carvings from images, aiming to combat the illegal wildlife trade. The proof-of-concept system utilizes a U-Net architecture with a ResNet34 backbone, trained on an augmented dataset of 541 images. This approach achieved an Area Under the Curve (AUC) of 0.81 and an 81% classification accuracy on confident samples, offering a potential tool for law enforcement to detect illicit ivory sales online. AI
IMPACT Provides a potential automated tool for law enforcement to combat illegal wildlife trade by identifying ivory from images.
RANK_REASON Academic paper detailing a novel machine learning approach. [lever_c_demoted from research: ic=1 ai=1.0]
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