Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery
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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 |
13 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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| Dataset | update: {"hold_state"=>["none", "files temporarily suppressed"]} | 2024-11-26T17:04:31Z |
| RelatedMaterial | create: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://doi.org/10.13012/B2IDB-8462244_V2", "uri"=>"10.13012/B2IDB-8462244_V2", "uri_type"=>"DOI", "citation"=>" (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_V2", "dataset_id"=>2706, "selected_type"=>"Dataset", "datacite_list"=>"IsPreviousVersionOf", "note"=>nil, "feature"=>nil} | 2024-11-26T14:53:17Z |