Image and Video AI: From Research to Production
Image and Video AI: From Research to Production Image and video AI today moves from clever experiments to real products. Researchers test ideas on curated datasets, while engineers build reliable pipelines that run in the cloud or at the edge. The goal is not only accuracy, but predictable performance, clear error signals, and safe operation in the real world. To make this jump, start with solid data. Gather diverse images and clips, annotate them with clear labels, and keep careful records of how data was collected. Create train, validation, and test splits, and track data versions so results can be reproduced later. With good data, small improvements in the model can translate to big gains in user experiences. ...