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.
Introduces new datasets:
plant_doc_detection
wheat_head_counting
A number of fixes for other object detection datasets.