Project-AgML/iNatAg-models
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AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Check out our GitHub: https://github.com/Project-AgML
See all datasets that we have indexed: https://project-agml.github.io/
datasets 329
Project-AgML/grapevine_organ_segmentation
Viewer • Updated • 148
Project-AgML/barley_disease_segmentation
Viewer • Updated • 4.76k
Project-AgML/OpenEar_projection_segmentation
Viewer • Updated • 1.3k
Project-AgML/OpenEar_base_segmentation
Viewer • Updated • 4.78k
Project-AgML/fava_bean_stomata_imprint
Viewer • Updated • 2.06k
Project-AgML/spring_wheat_stomata_imprint
Viewer • Updated • 973
Project-AgML/chili_leaf_curl_detection
Viewer • Updated • 1.42k
Project-AgML/OpenEar_developmental_status_classification
Viewer • Updated • 6.44k
Project-AgML/wheat_mosaic_classification_multispectral
Viewer • Updated • 424
Project-AgML/Luffa_flowers
Viewer • Updated • 362 • 8