Datasets:
File size: 2,222 Bytes
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dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: mask
dtype: image
- name: split
dtype: string
splits:
- name: train
num_bytes: 115320906
num_examples: 1048
download_size: 114631164
dataset_size: 115320906
- config_name: raw
features:
- name: image
dtype: image
- name: mask
dtype: image
splits:
- name: train
num_bytes: 22801401
num_examples: 248
download_size: 22820806
dataset_size: 22801401
configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
data_files:
- split: train
path: raw/train-*
default: true
license: cc-by-4.0
task_categories:
- image-segmentation
size_categories:
- 1K<n<10K
---
# Openear Projection Segmentation
This dataset provides real-world RGB images of maize ears in a field environment at Hongqi Base, Hainan, China, captured using a ground-based Raspberry Pi HQ camera system. Collected over a period from March 2025 to January 2026, it offers a longitudinal resource for semantic segmentation tasks in agricultural phenotyping under natural field conditions. The dataset contains Augmented and Raw versions.
The Augmented split contains 1,048 images with pixel-level mask annotations.
The Raw split contains 248 images with pixel-level mask annotations.
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
```bibtex
@article{fan2026openear,
title={OpenEar: an ultra-affordable, high-throughput, and accurate maize ear phenotyping system},
author={Fan, Shaoqi and Li, Guoji and Bahitwa, Revocatus and Jia, Zhiguo and Zhang, Hongwei and Shao, Jinghong and Yu, Qiuying and Chen, Xiaoran and Qian, Yiheng and Xu, Mingchi and Zhu, Linlin and Wang, Hai},
journal={Plant Methods},
volume={22},
pages={26},
year={2026},
publisher={BioMed Central}
}
```
Fan, S. (2025). <i>Datasets for OpenEar model training</i> (Version 2). figshare. https://doi.org/10.6084/m9.figshare.26282563.v2
*This dataset was reformatted from its original format to match HuggingFace standards.*
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