CornHub
# 🌽 CornHub: Instance-Segmentation Dataset of Corn Cobs
Version: 1.0.0
Date: 2025-05-18
License: CC BY 4.0
Author: Sebastian Borukało
## 📦 Description
CornHub is an instance-segmentation dataset of corn cobs in real field conditions. It contains 304 high-resolution RGB images in three variants:
- FULL (2432×2432 px)
- LITE (1024×1024 px)
- ULTRALITE (512×512 px)
Captured at varying distances (close-up and wide-angle), lighting conditions (sunny, overcast), and viewpoints, each corn cob is annotated as its own grayscale mask (single channel):
- 0 = background
- 1, 2, 3… = individual corn cob instances
Images and masks are provided in PNG format.
Use CornHub to train and evaluate instance-segmentation models in agriculture, field robotics, and computer vision research.
### DataSet view:
| Version | Filename | Resolution |
|------------------|:-------------------------:|:----------------:|
| Full | CornHub_FULL_2432.zip | 2432×2432 px |
| Lite | CornHub_LITE_1024.zip | 1024×1024 px |
| Ultra-Lite | CornHub_ULTRALITE_512.zip | 512×512 px |
## 📂 Download Options
Available on:
- Kaggle
- Zenodo
- [Papers With Code](https://paperswithcode.com/dataset/cornhub )
## 🤝 Credits
This dataset is free to use and you can use it in any project or paper,
however I would be glad if you would cite me and give credit - as it is stated in the license.
CornHub: Instance-Segmentation Dataset of Corn Cobs
Author: Sebastian Borukało
DOI: https://doi.org/10.5281/zenodo.15453713
DOI: 10.5281/zenodo.15453713