CornHub (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
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:

📂 Download Options

Available on:

• Kaggle
• Zenodo
• Papers With Code

🤝 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