Landing Pad Dataset: The Landing Pad Image Dataset is a collection of images containing a landing pad, along with object annotations for the landing pad 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 autonomous landing of Unmanned Aerial Vehicles (UAVs). This dataset is intended for use in research and development of UAV landing systems, such as those used in industrial applications. The inclusion of the landing pad annotations allows for the detection and localization of the landing pad in real-time, enabling the UAV to safely and accurately land on the designated landing surface. Noted that some of the images are also taken from a simulation. The dataset consists of the following images and detection objects (Landing Pad and Kios Logo): Subset Images Landing Pad Kios Logo Training 961 818 349 Validation 480 425 153 Testing 480 412 167 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, Panayiotis Kolios, Christos Kyrkou, & Charalambos Soteriou. (2022). Aerial Landing Pad Dataset (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.747756