Project-AgML/AgroMind

AgroMind AgroMind is a benchmark that tests how well large multimodal models understand agricultural remote sensing scenes. It has 28,482 question-answer pairs over 20,850 images taken by UAVs, satellites and ground cameras. The images come from nine public datasets and one private global parcel dataset, and cover 106 regions around the world. By sensor, there are 7,158 UAV, 12,268 satellite and 9,056 camera QA pairs. The questions cover 4 dimensions and 13 task types, from… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/AgroMind.

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