Autonomous Vehicles Street-View Footage Annotation
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Bounding BoxThis project involves reviewing and labeling raw, street-view camera footage captured by vehicle sensors. The goal is to accurately identify and isolate every relevant element in the vehicle's surrounding environment—such as other vehicles, pedestrians, traffic signs, and lane markers—to create high-quality training datasets. These datasets are used to train computer vision models, enabling self-driving cars to safely perceive their environment, predict human behavior, and navigate complex traffic scenarios.
2024 - 2026