Drone Dataset: Amateur Unmanned Air Vehicle Detection

This dataset is prepared for our 2019 year "Amateur Drone Detection and Tracking" project. There are more than 4000 amateur drone pictures in the dataset, which is usually trained with amateur (like dji phantom) drones. In addition, the dataset contains non-drone, drone-like "negative" objects. This dataset was used with Yolov2-tiny, Yolov3-voc versions. Generally suitable for working with Yolo architecture and darknet framework.

本数据集为我们2019年「业余无人机检测与跟踪」项目所制备。数据集中共收录四千余张业余无人机图像，其拍摄对象多为大疆精灵（DJI Phantom）这类民用无人机。此外，该数据集还涵盖非无人机类、外观近似无人机的负样本目标。本数据集可配合Yolov2-tiny、Yolov3-voc版本使用，整体适配Yolo架构与Darknet框架。

搜集汇总

背景与挑战

背景概述

该数据集包含4000多张业余无人机图片及负样本，专为无人机检测和跟踪项目设计，适用于Yolo架构和darknet框架。数据来源于YouTube视频和Google图片搜索，已用于Yolov2-tiny和Yolov3-voc模型的训练。