car_plate Computer Vision Project

carplate

Updated a year ago

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
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* 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
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
visit https://github.com/roboflow/notebooks
A description for this project has not been published yet.

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 2025-06-18 },
                            }
                        
                    

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