The latest subset expansion, , targets the rising threat of digital identity fraud. Based directly on the MIDV-2020 Dataset , it injects eight distinct categories of digital manipulation mapped from over 2,000 real-world fraud attempts. This enables computer vision models to perform complex image manipulation detection and pixel-level localization rather than basic text scanning. Ground Truth Annotations in Newer Subsets
When using quotation marks in prompts, the model is significantly more accurate at generating legible text for posters, logos, and banners. midv661 new