Datasets › NII-CU MAPD
NII-CU MAPD (NII-CU Multispectral Aerial Person Detection Dataset)
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 archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Multispectral Object Detection | NII-CU MAPD | YOLOv3-4‐channel mAP@0.5:0.95 64.4 | Deep learning with RGB and thermal images onboard a... | — | 2 | Compare |
| Object Detection | NII-CU MAPD | YOLOv3 mAP@0.5:0.95 48.3 | Deep learning with RGB and thermal images onboard a... | — | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Deep learning with RGB and thermal images onboard a drone for monitoring operations | 0 | 3 | 31 May 2022 | not harvested |
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- NII-CU MAPD
1 variant name, as the archive lists them.
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