A UAV image dataset for object detection with annotations generated using LabelImg and Roboflow

Data in Brief 2026 Open access

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Authors: Anindita Das, Vinitha Hannah Subburaj, Yong Zhi Yang, Craig W. Bednarz
DOI: 10.1016/j.dib.2026.112483
Cited by: 4
References: 6

Abstract

The dataset consists of drone images of cotton fields which were created to aid precision agriculture and machine learning-based weed detection research. The main goal is to enable the creation of object detection models for crop-weed differentiation while providing a standard for model evaluation. The dataset release serves two purposes: it supports the advancement of automated agricultural monitoring and sustainable farming practices, and it adds to the expanding research on AI solutions for agricultural productivity and environmental management.

Fields of Study & Subjects

Smart Agriculture and AI Remote Sensing in Agriculture Plant Surface Properties and Treatments

Publication details

Journal / source
Data in Brief
Publisher
Elsevier BV
Volume
65
Pages
112483–112483
Publication date
16 January 2026
Language
EN