datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
taro_blight_stage_classification
Taro Blight Stage Disease Classification
A dataset for image classification of Taro blight stage. The dataset contains 18,248 images across 4 classes: Early_Blight, Healthy, Late_Blight, Mid_Blight.
Images per class:
Early_Blight: 4,864
Healthy: 8,744
Late_Blight: 1,270
Mid_Blight: 3,370
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{nwaneto2025image,
title={Image dataset of Taro Leaf Blight… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/taro_blight_stage_classification.grapevine_development_stage_classification
Grapevine Development Stage Classification
A dataset for BBCH classification of grapevine development. The dataset contains 3,993 images across 4 classes: 71_73, 75, 77, 79.Images per class:
71_73: 975
75: 726
77: 1,200
79: 1,092
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{schieck2023comparison,
title={Comparison of… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grapevine_development_stage_classification.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.