CornHub: Instance-Segmentation Dataset

🌽 CornHub: Instance-Segmentation Dataset of Corn Cobs Version: 1.0.0 Date: 2025-05-18 License: CC BY 4.0Author: 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- PapersWithCode: 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.15453713DOI: 10.5281/zenodo.15453713