🌽 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 ## 🤝 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