Image Forgery Detection using CNN is a deep learning–based forensic tool designed to detect splicing forgeries in digital images. The project leverages advanced feature extraction techniques—including Error Level Analysis (ELA) combined with a VGG19 backbone and focal loss—to differentiate authentic images from tampered ones.
☆22Mar 15, 2025Updated last year
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