DISEASE Computer Vision Project
major project
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* understand and search unstructured image data
* use active learning to improve your dataset over time
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Disease are annotated in YOLO v5 PyTorch format.
Disease_Major - v1 2024-07-06 5:17am
For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
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The dataset includes 603 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on July 6, 2024 at 5:20 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
disease-uegoy_dataset,
title = { DISEASE Dataset },
type = { Open Source Dataset },
author = { major project },
howpublished = { \url{ https://universe.roboflow.com/major-project-ntlam/disease-uegoy } },
url = { https://universe.roboflow.com/major-project-ntlam/disease-uegoy },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { sep },
note = { visited on 2024-11-30 },
}