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AI-TOD remote sensing dataset
The AI-TOD remote sensing dataset is used for detecting dense small objects in aerial images. -
DOTA, HRSC2016, and UCAS-AOD datasets
The DOTA, HRSC2016, and UCAS-AOD datasets are used for evaluating the proposed DARDet. -
AID dataset
The AID dataset is a benchmark for scene classification in remote sensing. It contains aerial images with 30 scene types. -
Aerial Photographs and Styled Map Tiles
This dataset consists of 2194 aerial images and their corresponding styled map tiles scraped from Google Maps. -
Vaihingen dataset
The Vaihingen dataset consists of 1440 scenes with a size of 250×250 pixels. Each scene is a colour-infrared (CIR) true orthophoto and a height grid (digital surface model; DSM)... -
Aerial Image Dataset for Geospatial Object Detection
The dataset used for geospatial object detection, including aerial images. -
VisDrone'18 dataset for object detection
The VisDrone dataset is a large-scale dataset for object detection in aerial images. -
VisDrone2019
The VisDrone2019 dataset contains 10,209 high-resolution images with ten categories: pedestrian, people, bicycle, car, van, truck, tricycle, awning-tricycle, bus, and motor. -
Microsoft Bing Images API
Aerial images of London. -
DOTA1.0, DOTA1.5, HRSC2016
Aerial object detection dataset for anchor-free oriented object detection -
RIT-18 Image Set
The RIT-18 image set contains a single aerial training image with a spatial resolution of 0.047 m.
