datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OpenEar_developmental_status_classification
Openear Developmental Status Classification
This dataset provides real-world RGB images of maize ears collected in a field environment at Hongqi Base, Hainan, China, for developmental status classification. Images were captured using a ground-based Raspberry Pi HQ camera system with a Sony IMX477R sensor during the 2025-2026 growing season, offering high-resolution visual data for distinguishing between abnormal and normal developmental stages. The dataset contains 6,435 images… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/OpenEar_developmental_status_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.