Project-AgML/

AgroMind

AgroMind is an agricultural remote sensing benchmark for evaluating large multimodal models on agricultural scene understanding. It contains 28,482 question-answer pairs paired with 20,850 images drawn from nine public datasets plus proprietary global parcel data, spanning 13 task types across 4 evaluation dimensions:

Spatial Perception — localization, relationship determination, boundary detection Object Understanding — classification, pest/disease diagnostics, growth… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/AgroMind.