model_1 Computer Vision Project
abdalluh
Updated 10 months ago
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Classes (27)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
* Random Gaussian blur of between 0 and 0.75 pixels
* Random brigthness adjustment of between -26 and +26 percent
* Resize to 640x640 (Stretch)
* Salt and pepper noise was applied to 3 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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Characters are annotated in YOLOv8 format.
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The dataset includes 2921 images.
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on February 29, 2024 at 10:20 AM GMT
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ksa-1 - v3 2024-02-25 4:25pm
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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{
model_1-cobzd_dataset,
title = { model_1 Dataset },
type = { Open Source Dataset },
author = { abdalluh },
howpublished = { \url{ https://universe.roboflow.com/abdalluh-mnwsg/model_1-cobzd } },
url = { https://universe.roboflow.com/abdalluh-mnwsg/model_1-cobzd },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2025-01-03 },
}