Traffic Scene Analysis Dataset for Vehicle Detection and Distance Estimation

This dataset provides a comprehensive resource for traffic scene understanding, focusing on vehicle detection, tracking, and spatial analysis in highway environments. It includes raw images and video sequences capturing diverse traffic conditions, alongside YOLOv5-based annotated frames with vehicle bounding boxes. The dataset features processed outputs such as bird's-eye view transformations for spatial context and inter-vehicle distance measurements, essential for safety applications. Supporting materials encompass evaluation graphs (e.g., F1-score visualizations) and multi-format media (JPEG, PNG, MP4), enabling tasks in object detection, trajectory analysis, and collision risk assessment. This multi-modal collection serves as a valuable benchmark for developing and testing computer vision algorithms in intelligent transportation systems and autonomous driving research.