suojiashun / HIT-UAV-Infrared-Thermal-Dataset

A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection
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HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

Introduction

The HIT-UAV contains 2898 infrared thermal images extracted from 43470 frames, captured by UAV from different scenes (schools, parking lots, roads, playgrounds, etc.), covering a wide range of aspects including objects (Person, Bicycle, Car, OtherVehicle), flight altitude data (from 60 to 130 meters), camera perspective data (from 30 to 90 degrees), and daylight intensity (day and night).

Annotation

The HIT-UAV provide two bounding box type, oriented and standard. The oriented annotation can decrease the overlap of bounding boxes to improve the performance of detection algorithms.

For each annotation method, we provide the XML and JSON label file to help user utilize the HIT-UAV:

Sample images

The detection samples using YOLOv4.

Paper

https://doi.org/10.1038/s41597-023-02066-6

Cite

Jiashun Suo, Tianyi Wang, Xingzhou Zhang, Haiyang Chen, Wei Zhou and Weisong Shi. HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection. Scientific Data 10, 227 (2023).

or

@article{suo2023hit,  
    title       = {HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection},  
    author      = {Suo, Jiashun and Wang, Tianyi and Zhang, Xingzhou and Chen, Haiyang and Zhou, Wei and Shi, Weisong},  
    journal     = {Scientific Data},  
    volume      = {10},
    pages       = {227},
    year        = {2023},
    publisher   = {Nature Publishing Group UK London}
}