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Unmanned Aerial Vehicles Dataset

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/7477568
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Unmanned Aerial Vehicles Dataset: The Unmanned Aerial Vehicle (UAV) Image Dataset consists of a collection of images containing UAVs, along with object annotations for the UAVs found in each image. The annotations have been converted into the COCO, YOLO, and VOC formats for ease of use with various object detection frameworks. The images in the dataset were captured from a variety of angles and under different lighting conditions, making it a useful resource for training and evaluating object detection algorithms for UAVs. The dataset is intended for use in research and development of UAV-related applications, such as autonomous flight, collision avoidance and rogue drone tracking and following. The dataset consists of the following images and detection objects (Drone): Subset Images Drone Training 768 818 Validation 384 402 Testing 383 400 It is advised to further enhance the dataset so that random augmentations are probabilistically applied to each image prior to adding it to the batch for training. Specifically, there are a number of possible transformations such as geometric (rotations, translations, horizontal axis mirroring, cropping, and zooming), as well as image manipulations (illumination changes, color shifting, blurring, sharpening, and shadowing).   **NOTE** If you use this dataset in your research/publication please cite us using the following  Rafael Makrigiorgis, Nicolas Souli, & Panayiotis Kolios. (2022). Unmanned Aerial Vehicles Dataset (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7477569

无人机数据集(Unmanned Aerial Vehicles Dataset) 本无人机(Unmanned Aerial Vehicle,简称UAV)图像数据集收录了多张包含无人机的图像,并为每张图像中的无人机目标提供了标注。为适配各类目标检测框架的使用需求,标注格式已转换为COCO、YOLO及VOC格式。 数据集内的图像采集自多种拍摄角度与光照环境,可用于训练与评估面向无人机的目标检测算法,是一项颇具实用价值的研究资源。本数据集旨在服务于无人机相关应用的研发工作,例如自主飞行、防撞以及异常无人机追踪与跟随等场景。 数据集包含以下图像与检测目标(无人机): - 训练集:768张图像,818个无人机目标 - 验证集:384张图像,402个无人机目标 - 测试集:383张图像,400个无人机目标 建议在将图像加入训练批次前,通过概率化的随机数据增强手段对数据集进行进一步优化。具体可采用的变换手段包括几何变换(旋转、平移、水平镜像、裁剪与缩放)以及图像操作(光照调整、色彩偏移、模糊、锐化与阴影添加)。 **注意** 若您在研究或发表工作中使用本数据集,请引用如下文献: 拉斐尔·马基里乔吉斯、尼古拉斯·苏利与帕纳约蒂斯·科利奥斯. (2022). 无人机数据集(版本1.0)[数据集]. Zenodo. https://doi.org/10.5281/zenodo.7477569
创建时间:
2023-04-05
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