Published June 27, 2026 | Version v1

DS-v1 and DS-v2

  • 1. Universidad Tecnológica de Pereira

Description

The datasets used for the article titled "UAV-based detection of Black Sigatoka in banana crops using low-cost RGB imagery and deep learning object detection". The datasets include the processed UAV tiled images, the partitions, and the corresponding bounding-box annotations in YOLO format.

Files

Files (21.5 GB)

Name Size
md5:1a360dabaf317b3a73cb339e272cf8f5
9.8 GB Download
md5:a596658af8019ff7fea1e6813b3ee0fa
11.7 GB Download

Additional details

Software

Repository URL
https://github.com/JeankBraham/proyecto-grado
Programming language
Python
Development Status
Active