How Video Annotation Transformed Image Classification

Riya stumbled upon video annotation — the process of labeling frames in a video to train machine learning models. She proposed a new approach: record videos of the crops, annotate the frames, and extract labeled images automatically. With video annotation, each video gave her hundreds of annotated frames showing pests from different angles, in various lighting, and even mid-movement.
Her team used tools to annotate keyframes, track objects, and automate labels across frames. Suddenly, their image dataset exploded in size and variety, all while reducing manual effort.
As her model improved, so did the lives of local farmers. With just one click, they could now identify threats in their fields early — all thanks to the power of data annotation in image classification, made smarter through video annotation.