datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wheat_mosaic_classification_multispectral
Wheat Mosaic Classification Multispectral
This dataset provides real multispectral images of wheat plants in field environments across South Africa, collected during August and October 2023. Captured using a specially adapted Canon EOS 800D DSLR, the images focus on early detection of Wheat Stripe Mosaic Virus, depicting plants at various stages of disease progression. The dataset contains 424 images across 2 classes: diseased, early.Images per class:
diseased: 252
early: 172… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/wheat_mosaic_classification_multispectral.wheat_growth_stage_classification
Wheat Growth Stage Classification
This dataset provides real RGB images of winter wheat plants at various growth stages, captured in a controlled laboratory environment. The images were collected over a 15-month period from April 2021 to June 2022 using a fixed imaging platform, ensuring consistent visual representation of wheat development under stable conditions. The dataset contains 450 images across 15 classes: FM-ED, FM-LD, FM-MD, FM-OM, FM-SD, HF-ED, HF-LD, HF-MD, HF-OM… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/wheat_growth_stage_classification.