computer-vision

A lot of computer vision performance comes from cleaner inputs rather than larger models. I use OpenCV for resizing, denoising, thresholding, and contour extraction when preparing images for OCR or downstream classification. These classical steps ofte

For image work, I start with a compact CNN before reaching for heavy pretrained models. That baseline helps confirm whether labels, normalization, and augmentation are sane. It also makes failure cases easier to explain because the model architecture