Valfride Nascimento's starred repositories
lpr-rsr-ext
Official code for 'Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers' (Computers & Graphics 2023)
License_Plates_of_Algeria_Dataset
License Plates of Algeria Dataset (Les plaques minéralogique algeriennes)
benchmarks
Benchmark tests supporting the openalpr library
ufpr-amr-dataset
UFPR-AMR: a dataset for image-based automatic meter reading containing 2,000 images taken from inside a warehouse of the Energy Company of Paraná (Copel), which directly serves more than 4 million consuming units in the Brazilian state of Paraná.
ufpr-alpr-dataset
UFPR-ALPR: a dataset for license plate detection and recognition that includes 4,500 fully annotated images acquired in real-world scenarios where both the vehicle and the camera (inside another vehicle) are moving.
ufpr-admr-v1-dataset
UFPR-ADMR-v1: a dataset for image-based automatic meter reading containing 2,000 dial meter images obtained on-site by employees of the Energy Company of Paraná (Copel), which serves more than 4 million consuming units in the Brazilian state of Paraná.
copel-amr-dataset
Copel-AMR: a dataset for image-based automatic meter reading containing 12,500 meter images acquired in the field by the employees of the Energy Company of Paraná (Copel), which directly serves more than 4 million consuming units in the Brazilian state of Paraná.
rodosol-alpr-dataset
RodoSol-ALPR: a dataset for license plate detection and recognition that includes 20K images of vehicles with Brazilian/Mercosur license plates.
vehicle-rear
Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks
plates-generator
Mercosur License Plate Generator
PhotographicImageSynthesis
Photographic Image Synthesis with Cascaded Refinement Networks
ufpr-admr-v2-dataset
UFPR-ADMR-v2: a dataset for image-based automatic meter reading containing 5,000 dial meter images obtained on-site by employees of the Energy Company of Paraná (Copel), which serves more than 4 million consuming units in the Brazilian state of Paraná.