PlantSeg-segmentation-dataset Computer Vision Project
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downloadsWe established a large-scale plant disease segmentation dataset named PlantSeg. PlantSeg comprises more than 11,400 images of 115 different plant diseases from various environments, each annotated with its corresponding segmentation label for diseased parts. To the best of our knowledge, PlantSeg is the largest plant disease segmentation dataset containing in-the-wild images. Our dataset enables researchers to evaluate their models and provides a valid foundation for the development and benchmarking of plant disease segmentation algorithms.
Please note that due to the image limitations of Roboflow, the dataset provided here is not complete.
Project page: https://github.com/tqwei05/PlantSeg
Paper: https://arxiv.org/abs/2409.04038
Complete dataset download: https://zenodo.org/records/13958858
Reference: @article{wei2024plantseg, title={PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation}, author={Wei, Tianqi and Chen, Zhi and Yu, Xin and Chapman, Scott and Melloy, Paul and Huang, Zi}, journal={arXiv preprint arXiv:2409.04038}, year={2024} }
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
plantseg-segmentation-dataset_dataset,
title = { PlantSeg-segmentation-dataset Dataset },
type = { Open Source Dataset },
author = { uqtwei },
howpublished = { \url{ https://universe.roboflow.com/uqtwei-6gmpn/plantseg-segmentation-dataset } },
url = { https://universe.roboflow.com/uqtwei-6gmpn/plantseg-segmentation-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-18 },
}