Omkar2118/datasets huggingface dataset:
CornHub
Full name: Instance-Segmentation Dataset of Corn Cobs

# 🌽 CornHub: Instance-Segmentation Dataset of Corn Cobs

**Version:** 1.0.0  
**Date:** 2025-05-18  
**License:** [CC BY 4.0](https://creativecommons.org/licenses/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](https://www.kaggle.com/datasets/ciapserr/cornhub-instance-segmentation-dataset)  
- [Zenodo](https://doi.org/10.5281/zenodo.15453713)  
- [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](https://doi.org/10.5281/zenodo.15453713)  
**DOI:** 10.5281/zenodo.15453713