car_plate Computer Vision Project
carplate
Updated 4 months ago
Tags
Classes (32)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 2.5 pixels
* Random brigthness adjustment of between -15 and +15 percent
* Salt and pepper noise was applied to 0.1 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
0 - v2 2024-03-18 9:44am
0 are annotated in YOLO v7 PyTorch format.
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The dataset includes 7337 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 March 18, 2024 at 2:45 AM GMT
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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{
car_plate-zabpp_dataset,
title = { car_plate Dataset },
type = { Open Source Dataset },
author = { carplate },
howpublished = { \url{ https://universe.roboflow.com/carplate-0mqhz/car_plate-zabpp } },
url = { https://universe.roboflow.com/carplate-0mqhz/car_plate-zabpp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2024-11-22 },
}