Plate Recognition
taiwan-license-plate-recognitionFANVID-Face_and_License_Plate_Recognition_in_Low-Resolution_Videos
FANVID: Face and License Plate Recognition in Low-Resolution Videos
Overview
FANVID is a benchmark dataset designed to advance research in face detection and matching and license plate recognition under challenging low-resolution surveillance video conditions. Unlike existing datasets, FANVID features faces and license plates that are unrecognizable in individual frames, encouraging models to leverage temporal context across video sequences for improved recognition.… See the full description on the dataset page: https://huggingface.co/datasets/kv1388/FANVID-Face_and_License_Plate_Recognition_in_Low-Resolution_Videos.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.Number-Plate-Recognition
Number-Plate-Recognition
A lightweight dataset for automatic number plate recognition (ANPR). Each sample contains a vehicle image paired with the vehicle color and the corresponding license plate number in a standardized JSON format.
Features
Vehicle images
Vehicle color annotation
License plate text (OCR)
JSON formatted labels
Suitable for OCR and vision-language model training
Label Format
{
"vehicle_color": "black",
"license_plate_number":… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Number-Plate-Recognition.Automatic_Number_Plate_RecognitionAutomatic_Number_Plate_Recognition