From Pixels to Predictions: Data Pipelines and Training the Sequence Model (Part 2)

In Part 1 of this series, we introduced the architecture of the asl-to-voice translation system—a five-stage pipeline designed to turn real-time webcam video into spoken English. But a machine learning model is only as good as the data it learns from, and in the world of computer vision, raw video is often too noisy, heavy, and unstructured to be useful directly. In this article, we dive into the data layer: how we extract meaningful signals from raw video, normalize them for robust inference,...