Case Study: Leading Vehicle Manufacturing Company achieves high-quality autonomous-driving training data in four weeks with TransPerfect DataForce

Image Labeling and Description for Autonomous Driving

Leading Vehicle Manufacturing Company needed to convert large volumes of raw street video into high‑quality machine learning training data to ensure autonomous vehicle safety by identifying all potential traffic risk agents. They engaged TransPerfect’s DataForce image labeling and annotation service to turn unstructured camera footage into structured, actionable data.

TransPerfect’s DataForce team annotated 18,000 real‑world images—adding captions, scene type, visible agent types and expected directions, risk presence, and recommended vehicle actions—and completed the project within four weeks after only five days’ notice, with the client’s engineering team reviewing and commenting in real time on the proprietary platform. The result was a high‑quality training dataset that improved the client’s ability to detect pedestrians, cyclists and incoming traffic at scale, backed by DataForce’s global community and secure AI data platform.