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Updated: Feb 13, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
Published on: December 15, 2023
A UAV image dataset for object detection with annotations generated using LabelImg and Roboflow
Anindita Das1, Vinitha Hannah Subburaj1, Yong Yang1
1West Texas A&M University, Canyon, TX 79016, USA.
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.
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