Result
The AI-powered damage assessment system streamlined the insurance claim process, reducing manual effort and improving accuracy in assessing the extent of vehicle damages.Decreased claim processing time by 40% and increased accuracy in damage assessment by 20%, leading to quicker claims resolution and enhanced customer satisfaction.

Challenge
Developing an AI system for accurate pedestrian detection in various urban environments.

Solution
LinkedAI provided high-quality image labeling services to annotate pedestrians in different scenarios, including crowded streets, crosswalks, and intersections. LinkedAI’s team used a combination of bounding boxes and semantic segmentation to precisely outline pedestrians and their context.

Result
The AI model demonstrated a significant reduction in false negatives and false positives, resulting in a safer pedestrian detection system. Increased pedestrian detection accuracy by 20%, leading to improved safety and enhanced user trust.

Solution
The company used LinkedAI’s image labeling services to annotate a wide range of objects encountered in complex urban environments. This company employed polygon annotations, and bounding box annotation to provide detailed information about object types and their attributes.

Result
decision-making during urban driving scenarios. Achieved a 25% increase in object recognition accuracy, contributing to a more reliable and efficient urban driving experience.