Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery
- Independent Researcher, Canelones 15800, Uruguay; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)
- Department of Crop Sciences, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Institute for Genomic Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Department of Plant Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Center for Digital Agriculture, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)
This dataset supports the implementation described in the manuscript "Breaking the Barrier of Human-Annotated Training Data for Machine-Learning-Aided Biological Research Using Aerial Imagery." It comprises UAV aerial imagery used to execute the code available at https://github.com/pixelvar79/GAN-Flowering-Detection-paper. For detailed information on dataset usage and instructions for implementing the code to reproduce the study, please refer to the GitHub repository.
- Research Organization:
- Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States); University of Illinois Urbana-Champaign
- Sponsoring Organization:
- U.S. Department of Energy (DOE)
- DOE Contract Number:
- SC0018420
- OSTI ID:
- 3015346
- Country of Publication:
- United States
- Language:
- English
Similar Records
Breaking the barrier of human-annotated training data for machine learning-aided plant research using aerial imagery
Transfer Learning approach to parking lot classification in aerial imagery
Journal Article
·
Tue Apr 22 20:00:00 EDT 2025
· Plant Physiology (Bethesda)
·
OSTI ID:2561459
Transfer Learning approach to parking lot classification in aerial imagery
Conference
·
Sun Aug 06 00:00:00 EDT 2017
·
OSTI ID:1491126