ningning Computer Vision Project
ning
Updated 6 months ago
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Grayscale (CRT phosphor)
* Resize to 224x224 (Fit within)
* 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,
Gyeonggi are annotated in YOLOv9 format.
No image augmentation techniques were applied.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 100 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on May 23, 2024 at 8:59 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
gyeonggi-old-01 - v1 2023-10-12 3:57pm
visit https://github.com/roboflow/notebooks
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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{
ningning-1gm6t_dataset,
title = { ningning Dataset },
type = { Open Source Dataset },
author = { ning },
howpublished = { \url{ https://universe.roboflow.com/ning-fhttf/ningning-1gm6t } },
url = { https://universe.roboflow.com/ning-fhttf/ningning-1gm6t },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-11-28 },
}