Published May 9, 2024 | Version v1
Dataset Open

YOLO-based Drone Navigation for Pallet Identification

Description

This upload contains the following:

  • The training data of 40 pallets and the resulting weights for four YOLOv4-tiny models, two trained to detect pallets and two trained to detect pallet blocks
  • The documentation of 280 flights using these four models as a means of navigation for a micro drone, in the form of logs, images and feature vectors
  • The resultings evaluation and visualisation scripts

Further details, documentation and information on the project can be found in the corresponding Github Repo and publication. If you have any questions concerning these datasets, feel free to contact the corresponding author, Jérôme Rutinowski.

This work is part of the project "Silicon Economy Logistics Ecosystem" which is funded by the German Federal Ministry of Transport and Digital Infrastructure.

Files

dataset_block_01-20.zip

Files (413.4 MB)

Name Size Download all
md5:757102ed263c12a68e091a7799a80ef5
117.0 MB Preview Download
md5:d9b1f753efef34f26e9a95e81bfce251
112.8 MB Preview Download
md5:3e69f7de2cbcc4fb9429d5ac8ed30f86
83.3 MB Preview Download
md5:5654da59459f6a88ca367a5ce21db1f5
85.2 MB Preview Download
md5:6d1e7064aef3d2f04d1098a658ef6af3
14.6 MB Preview Download
md5:2bb3dc936f4f0cb7dc93b9d9f75be8a8
517.0 kB Preview Download

Additional details

Software

Repository URL
https://github.com/FLW-TUDO/ReID_Drone_Scripts
Programming language
Python
Development Status
Active