LRDDv3: High-Resolution Long-Range Drone Detection Dataset with Range Information and Thermal Data

Unmanned Aerial Vehicles (UAVs) have quickly become common in various airspaces, representing a wide range of applications from recreation flying to commercial photography and package delivery. With the increasing prevalence of UAVs, it becomes critical that both manned and unmanned aircraft can detect UAVs and other flying objects from long range to effectively track movement and ensure safe operation in shared spaces. While several datasets have been introduced for drone detection, the need for expanded high-quality data persists, especially in the area of high-resolution long-range drone data. To address this, we introduce a high-resolution dataset of 102,532 long-range RGB images of drones, sampled at 5 FPS from 128 distinct video clips taken mid flight during 17 different data collection days spread over 8 months to ensure a wide variety of lighting scenarios, flight locations, and background elements. The dataset boasts comprehensive drone range information across the dataset, as well as 29,630 IR images, all paired with RGB counterparts from the base dataset. As one of the first drone detection datasets to leverage 4k image resolution and paired 640×512 IR images, our work represents a significant advancement to enable the detection of drones at long range. For more information please check out our paper: https://arxiv.org/abs/2605.25942

Examples of images in the dataset, featuring different challenges such as drones occluded by objects and foliage, drones blending into noisy backgrounds, and drones flying in snowy, rainy, and clear weather conditions.

Examples of thermal image pairs from the dataset. The RGB images are collected at 4k resolution, and the IR images are recorded at 640×512, centered relative to their RGB counterparts

An overview of dataset splits and distributions. (a) Shows the number of images in the training, validation, and test sets for both RGB and Thermal data. (b) Shows the weather (top) and lighting (bottom) distributions across the dataset. The dataset was primarily collected in clear weather, with some rainy and snowy conditions, while the lighting conditions were more balanced between cloudy, partly cloudy, and sunny. (c) Shows the distribution of the range between the target drone and the camera drone across the dataset. Most images were taken with 0-50 meters between the drones, but the dataset also includes longer ranges of up to 175 meters.

Dataset Access

In order to gain access to all versions of the LRDD dataset, please fill out the form below:

https://forms.gle/WnhDk2ajLUvzyDav9

After you submit this form, we will wait for the university to clear you for access and then we will email you the link to access the dataset. Please note that the clearance process is based on current US export control regulations, and the university is not able to clear all individuals due to liabilities related to their country of origin, institution, or other factors.

Should you encounter any issues or if you do not receive access within two weeks of submitting a request, feel free to reach out by sending an email to kp3275@drexel.edu.

If you find this dataset useful in your work, please consider citing the dataset paper:

@INPROCEEDINGS{peterson2026_LRDDv3,
  author={Peterson, Knut and Mayers, Zaid and Yousuf, Azmain and Chowdhury, Priontu and Zaczepinski, Asher and Arezoomandan, Solmaz and Maarefdoust, Reihaneh and Han, David},
  booktitle={2026 IEEE International Conference on Robotics and Automation (ICRA)}, 
  title={LRDDv3: High-Resolution Long-Range Drone Detection Dataset with Range Information and Thermal Data}, 
  year={2026},
  volume={},
  number={},
  pages={1-8},
  doi={TBD}
}