Dataset of Drone Distance Estimation

Drone Datasets for Distance Estimation using YOLOv11 and Regression ModelsThis datasets consists of:YOLOtrainedKongsbergDataset: images of DJI Air 2S drone taken outside of USN Kongsberg campus for pretrained YOLO model.DistanceEstimationKongsbergDataset: images of DJI Air 2S drone taken outside of USN Kongsberg campus arranged in distance folder for regression model.YOLOtrainedVestfoldDataset: images of DJI Mavic 3 Enterprise drone taken outside of USN Vestfold campus for pretrained YOLO model.DistanceEstimationKongsbergDataset: images of DJI Mavic 3 Enterprise drone taken outside of USN Vestfold campus arranged in distance folder for regression model.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.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".