AI Image Annotation for Autonomous Driving Models
ImageObject Detection
This project focuses on annotating street-level images to support the development of computer vision models for autonomous driving systems. Annotators will identify and label objects such as vehicles, pedestrians, traffic signs, road markings, and obstacles using bounding boxes and pixel-level segmentation. The dataset will be used to train and validate deep learning models for real-time environment perception and navigation.
This project focuses on annotating street-level images to support the development of computer vision models for autonomous driving systems. Annotators will identify and label objects such as vehicles, pedestrians, traffic signs, road markings, and obstacles using bounding boxes and pixel-level segmentation. The dataset will be used to train and validate deep learning models for real-time environment perception and navigation.
2025 - 2026