Dataset of Drone Distance Estimation
收藏DataCite Commons2025-12-22 更新2026-04-25 收录
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https://dataverse.no/citation?persistentId=doi:10.23642/USN.29819858
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DATASET MIGRATED FROM FIGSHARE: <p dir="ltr">Drone Datasets for Distance Estimation using YOLOv11 and Regression Models</p><p dir="ltr">This datasets consists of:</p><ol><li>YOLOtrainedKongsbergDataset: images of DJI Air 2S drone taken outside of USN Kongsberg campus for pretrained YOLO model.</li><li>DistanceEstimationKongsbergDataset: images of DJI Air 2S drone taken outside of USN Kongsberg campus arranged in distance folder for regression model.</li><li>YOLOtrainedVestfoldDataset: images of DJI Mavic 3 Enterprise drone taken outside of USN Vestfold campus for pretrained YOLO model.</li><li>DistanceEstimationKongsbergDataset: images of DJI Mavic 3 Enterprise drone taken outside of USN Vestfold campus arranged in distance folder for regression model.</li></ol><p dir="ltr">The images of datasets number 1 and 2 are the same, but the dataset number 2 is arranged in the folders based on the distance when the camera took the picture. Similarly with images is datasets number 3 and 4. The datasets with name started "YOLOtrained..." are grouped into three categories train 60%, valid 20%, and test 20% for the purpose of YOLO training. Also, there are annotation files that represent the location of the drone and its bounding box in the image using YOLO format.</p><p dir="ltr">The datasets are used for distance estimation research that is submitted to the Remote Sensing journal under title: "Drone Distance Estimation using YOLOv11 and Regression Models for Drone Detection Service in U-Space System".</p>
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DataverseNO
创建时间:
2025-08-21



