keremberke/yolov5n-license-plate
Object Detection
•
Updated
•
52.8k
•
17
image_id
int64 0
6.18k
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imagewidth (px) 216
4.65k
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int32 216
4.65k
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int32 151
2.91k
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['license_plate']
{'train': 6176, 'valid': 1765, 'test': 882}
pip install datasets
from datasets import load_dataset
ds = load_dataset("keremberke/license-plate-object-detection", name="full")
example = ds['train'][0]
https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk/dataset/1
@misc{ vehicle-registration-plates-trudk_dataset,
title = { Vehicle Registration Plates Dataset },
type = { Open Source Dataset },
author = { Augmented Startups },
howpublished = { \\url{ https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk } },
url = { https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2023-01-18 },
}
CC BY 4.0
This dataset was exported via roboflow.ai on January 13, 2022 at 5:20 PM GMT
It includes 8823 images. VRP are annotated in COCO format.
The following pre-processing was applied to each image:
No image augmentation techniques were applied.