Datasets:

Rickkosse
/

kenteken-synthetic-dataset

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Synthetic Dutch License Plate Dataset

Synthetische kentekenplaat dataset gegenereerd door gecropte Nederlandse kentekenplaten te plakken op BDD100K rijachtergronden, inclusief flitser/IR-simulatie.

Gegenereerd met synthetic_compositor.py.

Dataset structuur

Kolom	Type	Omschrijving
`image`	PIL Image	Samengestelde afbeelding
`image_id`	int	Unieke afbeeldings-ID
`file_name`	str	Bestandsnaam
`width` / `height`	int	Afbeeldingsafmetingen
`objects`	dict	Bounding boxes + labels

objects bevat:

bbox: lijst van [x, y, w, h] in pixels (COCO formaat)
category: altijd 0 (license_plate)
license_plate_text: kentekennummer als string (bijv. "DV-DS-68")
area: oppervlakte van de box in pixels²

Gebruik

from datasets import load_dataset

ds = load_dataset("Rickkosse/kenteken-synthetic-dataset")
sample = ds["train"][0]

print(sample["objects"])
# {'bbox': [[951, 247, 217, 79]], 'category': [0],
#   'license_plate_text': ['33-ZG-95'], 'area': [17143]}

Generatie

Platen: gecropte Nederlandse kentekenplaten (olavsplates / platesmania)
Achtergronden: BDD100K rijafbeeldingen
Augmentatie: perspectief-warp, rotatie, motion blur, helderheid/contrast, ruis
Flitser simulatie: grayscale / IR / IR-bright (35% kans per afbeelding)
Formaat: 1280×720 px

Licentie

CC BY 4.0

Downloads last month: 44

Models trained or fine-tuned on Rickkosse/kenteken-synthetic-dataset

Rickkosse/rfdetr_licences_plate_detector

Object Detection • Updated Jun 11