Placas Computer Vision Project
Ficius project
Updated 7 months ago
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Classes (39)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 5 pixels
* Random exposure adjustment of between -20 and +20 percent
* Random rotation of between -10 and +10 degrees
* Random shear of between -15° to +15° horizontally and -15° to +15° vertically
* 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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A
For state of the art Computer Vision training notebooks you can use with this dataset,
Numbers are annotated in YOLO v5 PyTorch format.
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The dataset includes 14475 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 15, 2024 at 6:21 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
numbers - v1 2023-09-14 10:25pm
visit https://github.com/roboflow/notebooks
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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{
placas-b72d4_dataset,
title = { Placas Dataset },
type = { Open Source Dataset },
author = { Ficius project },
howpublished = { \url{ https://universe.roboflow.com/ficius-project-onzeo/placas-b72d4 } },
url = { https://universe.roboflow.com/ficius-project-onzeo/placas-b72d4 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jun },
note = { visited on 2024-12-24 },
}