datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
persian-license-plate-v1
Dataset is downloaded from here which was provided at Amirkabir University of Technology.
The dataset is labeled by the authors.
Experimental results show that the fine-tuned model works well in Persian License Plate.
Usage
You can download the dataset easily using HF datasets package in Python:
!pip install datasets
from datasets import load_dataset
dataset = load_dataset("hezarai/persian-license-plate-v1", split="train") # Other splits: validation, test
print(dataset[0])
license-plate-object-detection
Dataset Labels
['license_plate']
Number of Images
{'train': 6176, 'valid': 1765, 'test': 882}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/license-plate-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/license-plate-object-detection.taiwan-license-plate-recognitionegypt_cars_and_license_plateslicense-platealgerian-license-plates
Algerian License Plates Detection Dataset
First open-source annotated Algerian license plate detection dataset.
1950 images with YOLO-format bounding box annotations, collected from
publicly available Algerian media sources.
Annotation Format
Each .txt label file: one row per plate
0 cx cy w h
where cx, cy, w, h are normalized to [0, 1]. Class 0 = plate.
Model trained on this dataset
YOLOv8s achieves mAP@50 = 0.993.
Live demo: https://tobni-algerplate.hf.space… See the full description on the dataset page: https://huggingface.co/datasets/tobni/algerian-license-plates.license_plate_roboflowlicense-plate-finetuningA formatted, augmented copy of license_plate_object_detection for use with grounding dino training experiments.
Original license is CC - please attribute author at that dataset address.
license-plate-text-recognition-full
Dataset Card for "license-plate-text-recognition-full"
Background Information
This dataset is generated from keremberke/license-plate-object-detection dataset. What we have done is:
Get the Bounding Boxes for each plate in an image,
Crop the image to make the plate only visible,
Run it through the microsoft/trocr-large-printed model to extract the written information.
Structure of the Dataset
It has the same structure as the… See the full description on the dataset page: https://huggingface.co/datasets/sonnetechnology/license-plate-text-recognition-full.il-license-platesImages of Israeli License Plates with annotation for Plate-Object detection
license-plate-datasetunited-states-license-platelicense-plates
Dutch License Plates — Real-World Dataset
Real-world photos of Dutch vehicles with bounding-box annotations for license
plates.
Splits: 70 % train / 15 % validation / 15 % test (reproducible seed=42).
Usage
from datasets import load_dataset
ds = load_dataset("Rickkosse/license-plates")
Bounding-box format
Annotations follow COCO format: [x, y, width, height] in pixels
(top-left corner + dimensions, not normalised).
Fields… See the full description on the dataset page: https://huggingface.co/datasets/Rickkosse/license-plates.NightLPBD_Nighttime_License_Plates_of_Bangladesh
NightLPBD: Nighttime License Plates of Bangladeshi vehicles dataset
This repository on GitHub serves as the official landing page, documentation hub, and version registry for the NightLPBD (Nighttime License Plates of Bangladeshi vehicles).
📝 Overview
NightLPBD (Nighttime License Plates of Bangladeshi vehicles dataset) is a specialized, real-world image dataset designed specifically for training and evaluating object detection and character recognition models under low-light… See the full description on the dataset page: https://huggingface.co/datasets/thasan3003/NightLPBD_Nighttime_License_Plates_of_Bangladesh.Vietnam_License_Plate_Segment_Datasetsswedish_police_license_plateslicense-plates-tfod
Bbox Format Conversion: coco_xywh -> tfod
Bounding boxes converted from coco_xywh to tfod format.
Processing Details
Source Dataset: merve/license-plates
Conversion: coco_xywh -> tfod
Number of Samples: 6,176
Processing Time: 2.3s
Processing Date: 2026-03-06 17:38 UTC
Split: train
Bbox Formats
Format
Description
coco_xywh
[x, y, width, height] in pixels
xyxy
[xmin, ymin, xmax, ymax] in pixels
voc
[xmin, ymin, xmax, ymax] in pixels (alias… See the full description on the dataset page: https://huggingface.co/datasets/merve/license-plates-tfod.license-plates-coco
Bbox Format Conversion: tfod -> coco_xywh
Bounding boxes converted from tfod to coco_xywh format.
Processing Details
Source Dataset: merve/license-plates-tfod
Conversion: tfod -> coco_xywh
Number of Samples: 6,176
Processing Time: 17.3s
Processing Date: 2026-03-06 17:44 UTC
Split: train
Bbox Formats
Format
Description
coco_xywh
[x, y, width, height] in pixels
xyxy
[xmin, ymin, xmax, ymax] in pixels
voc
[xmin, ymin, xmax, ymax] in pixels… See the full description on the dataset page: https://huggingface.co/datasets/merve/license-plates-coco.license-plate-labeledlicense_plate_datacoco-license-plate-pseudo-labels
COCO License Plate Pseudo-Labels
Pseudo-gelabelde kentekenplaat bounding boxes op COCO 2017 train-afbeeldingen.
Gegenereerd met open-image-models
YOLOv9 platedetector (MIT licentie), toegepast op voertuig-ROIs uit de COCO annotaties.
Dataset structuur
Kolom
Type
Omschrijving
image
PIL Image
Originele COCO afbeelding
image_id
int
Originele COCO image ID
file_name
str
Originele bestandsnaam
objects
dict
Bounding boxes + labels + scores
objects bevat:… See the full description on the dataset page: https://huggingface.co/datasets/Rickkosse/coco-license-plate-pseudo-labels.synthetic-indian-licenseplates-datasetlicense_plate_second_statelicense-plates-voc
Bbox Format Conversion: coco_xywh -> voc
Bounding boxes converted from coco_xywh to voc format.
Processing Details
Source Dataset: merve/license-plates
Conversion: coco_xywh -> voc
Number of Samples: 6,176
Processing Time: 2.8s
Processing Date: 2026-03-06 17:37 UTC
Split: train
Bbox Formats
Format
Description
coco_xywh
[x, y, width, height] in pixels
xyxy
[xmin, ymin, xmax, ymax] in pixels
voc
[xmin, ymin, xmax, ymax] in pixels (alias for… See the full description on the dataset page: https://huggingface.co/datasets/merve/license-plates-voc.taiwan-license-plate-recognitionRAG_license_plate