Early learning project from 2020 — computer vision before forensic document pipelines.

Object detection locates and classifies objects in images. Early implementations used classical CV (OpenCV); modern stacks use deep learning. This project explored custom object detection as a weekend experiment.

Practical applications span security, robotics, accessibility, and document layout analysis — the last of which later informed OCR and table-extraction work in Exit Protocol.

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