🌽 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:

🤝 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