plate car Computer Vision Project
bcvt
Updated a year ago
100
views6
downloadsTags
Classes (33)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 1.5 pixels
* Random rotation of between -15 and +15 degrees
* 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
21
22
23
24
25
26
27
28
29
30
31
32
==============================
Bien are annotated in YOLOv8 format.
For state of the art Computer Vision training notebooks you can use with this dataset,
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 9789 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 November 7, 2023 at 2:25 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
bienf1 - v1 bienf1
visit https://github.com/roboflow/notebooks
Metrics
Try This Model
Drop an image or
A description for this project has not been published yet.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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{
plate-car-q8bjd_dataset,
title = { plate car Dataset },
type = { Open Source Dataset },
author = { bcvt },
howpublished = { \url{ https://universe.roboflow.com/bcvt/plate-car-q8bjd } },
url = { https://universe.roboflow.com/bcvt/plate-car-q8bjd },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-11-25 },
}