YOLOv8-Nano for Tiny Object Detection in Real-Time Traffic Surveillance (VisDrone Dataset)

This dataset supports the manuscript titled \Tiny Object Detection in Aerial Traffic Surveillance using YOLOv8-Nano\. It contains training and evaluation resources used to benchmark YOLOv8n and YOLO-MARS models on the VisDrone dataset for real-time object detection. The data includes:Preprocessed VisDrone images resized to 640\u00d7640 and 960\u00d7960Annotations in YOLO formatYOLOv8n and YOLO-MARS pretrained weightsScripts for training, evaluation, and Jetson Nano deploymentBounding box outputs and visualizationsThe dataset is intended to facilitate reproducibility and provide a baseline for lightweight, edge-compatible object detection systems in intelligent transportation and surveillance.