Illinois Data Bank - Dataset

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Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery
Cite this dataset:
Varela, Sebastian; Leakey, Andrew (2024): Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery . University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-8462244_V1
Dataset Description

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 consists of 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 on implementing the code to reproduce the study, please refer to the GitHub repository.
Subject Life Sciences
Keywords Plant phenotyping; generative and adversarial learning; phenotyping; UAV; UAS, drone
License CC BY
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0018420
Corresponding Creator Sebastian Varela
Downloaded 11 times
Version DOI Comment Publication Date
2 10.13012/B2IDB-8462244_V2 Images need to be transformed to required format for Github script 2024-12-12
1 10.13012/B2IDB-8462244_V1 2024-11-18
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