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Datasets/NII-CU MAPD

NII-CU MAPD

NII-CU Multispectral Aerial Person Detection Dataset

ImagesCC BY-NC-ND 4.0Introduced 2022-05-31

The National Institute of Informatics - Chiba University (NII-CU) Multispectral Aerial Person Detection Dataset consists of 5,880 pairs of aligned RGB+FIR (Far infrared) images captured from a drone flying at heights between 20 and 50 meters, with the cameras pointed at 45 degrees down. We applied lens distortion correction and a homography warping to align the thermal images with the RGB images. We then labeled the people visible on the images with rectangular bounding boxes. The footage shows a baseball field and surroundings in Chiba, Japan, recorded in January 2020.

*RGB images captured with a Zenmuse X3 (3840x2160)
*Thermal images captured with a FLIR Vue Pro 640 in White Hot palette (640x512 before alignment)
*RGB images are corrected for lens distortion
*Thermal images are corrected for lens distortion and warped to be aligned with RGB images
*Labels are provided in CSV format

Benchmarks

16k/mAP@0.5:0.9516k/AP@0.516k/AP@0.752D Classification/mAP@0.5:0.952D Classification/AP@0.52D Classification/AP@0.752D Object Detection/mAP@0.5:0.952D Object Detection/AP@0.52D Object Detection/AP@0.753D/mAP@0.5:0.953D/AP@0.53D/AP@0.75Multispectral Object Detection/mAP@0.5:0.95Multispectral Object Detection/AP@0.5Multispectral Object Detection/AP@0.75Object Detection/mAP@0.5:0.95Object Detection/AP@0.5Object Detection/AP@0.75

Statistics

Papers
1
Benchmarks
18

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Tasks

16k2D Classification2D Object Detection3DMultispectral Object DetectionObject DetectionThermal Infrared Pedestrian Detection