Capability
Bulk Image Quality Assessment And Reporting
20 artifacts provide this capability.
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1
UVDocModel39/100
via “document image quality assessment and filtering”
image-to-text model by undefined. 4,09,404 downloads.
Unique: Combines classical image quality metrics (Laplacian variance for blur, histogram analysis for contrast) with learned features from PaddleOCR's document detection backbone to identify OCR-relevant quality issues
vs others: More targeted than generic image quality metrics (BRISQUE, NIQE) because it specifically optimizes for OCR-relevant degradation; faster than running full OCR for filtering because it uses lightweight feature extraction