reg Computer Vision Project
project-nii02
Updated 7 months ago
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Classes (30)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 3 pixels
* Random exposure adjustment of between -20 and +20 percent
* Random rotation of between -3 and +3 degrees
* Resize to 640x640 (Stretch)
* Salt and pepper noise was applied to 5 percent of pixels
* 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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For state of the art Computer Vision training notebooks you can use with this dataset,
Ingredients are annotated in YOLOv8 format.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 3050 images.
The following augmentation was applied to create 8 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on January 14, 2023 at 9:58 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
aicook - v4 aicook-augmented
visit https://github.com/roboflow/notebooks
A description for this project has not been published yet.
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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{
reg-dmif8_dataset,
title = { reg Dataset },
type = { Open Source Dataset },
author = { project-nii02 },
howpublished = { \url{ https://universe.roboflow.com/project-nii02/reg-dmif8 } },
url = { https://universe.roboflow.com/project-nii02/reg-dmif8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2024-11-22 },
}