How to Build a Fast Blur Detection Tool with Python and OpenCV

Blur detection is a critical data preprocessing step in computer vision used to automatically scan, flag, and filter low-quality images from machine learning datasets. Feeding blurry photos into convolutional neural networks (CNNs) destroys micro-features during downscaling and convolution, which severely degrades downstream model performance in tasks like object detection, facial recognition, and OCR. Why Blur Detection Matters for Datasets Reddit·r/computervision