AITP - AI Thermal Pedestrians Dataset - Open Research Data - Bridge of Knowledge

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AITP - AI Thermal Pedestrians Dataset

Description

AITP is a pedestrian detection dataset consisting of 9178 annotated thermal images. The training set contains 7801 images on which
15448 pedestrians were labeled.  The test set has 1377 images on which 2731 objects were marked. All images are in PNG file format (120x160) captured with FLIR Lepton Thermal Camera on the streets of Gdańsk, Poland. All pedestrians were manually annotated. Annotations are stored in PASCAL and YOLO formats.

Dataset file

database.zip
84.9 MB, S3 ETag 17f3f1f3127861116ec68c8a04ceffc9-1, downloads: 124
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file database.zip

File details

License:
Creative Commons: by-nc 4.0 open in new tab
CC BY-NC
Non-commercial

Details

Year of publication:
2022
Verification date:
2022-05-16
Dataset language:
English
Fields of science:
  • biomedical engineering (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
DOI:
DOI ID 10.34808/06bs-9e90 open in new tab
Verified by:
Gdańsk University of Technology

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