datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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_Recognitiontaiwan-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… See the full description on the dataset page: https://huggingface.co/datasets/aayushaaa001/FANVID-Face_and_License_Plate_Recognition_in_Low-Resolution_Videos.yolo-license-plate-number-recognition
车牌数字识别数据集
本数据集为车牌数字识别数据集，适用于智能交通领域的目标检测任务。
数据集标签信息
检测类别数（nc）：34
类别名称：A, B, C, D, E, F, G, H, J, K, L, M, N, P, Q, R, S, T, U, V, W, X, Y, Z, eight, five, four, nine, one, seven, six, three, two, zero
适用场景
A, B, C等多类目标的智能检测
目标检测模型训练与部署
计算机视觉算法研究
网盘地址
在线下载链接：https://www.data2.cn
在线获取数据集：车牌数字识别数据集
访问 https://www.data2.cn 访问 data2.cn 获取下载链接
--来自data2.cn超级会员v6的分享
yolo-license-plate-recognition
车牌识别数据集
本数据集为车牌识别数据集，包含车牌目标检测与定位标注，适用于智能交通、停车场管理、卡口监控等场景的目标检测任务，可用于训练车牌定位与识别模型。
网盘地址
在线下载链接：https://www.data2.cn
在线获取数据集：车牌识别数据集
访问 https://www.data2.cn 访问 data2.cn 获取下载链接