We introduce LPR-MNIST, a synthetic dataset replicating the key aspects of syntax evolution on vehicle license plates, as explored in the paper Relaxed syntax modeling in Transformers for future-proof license plate recognition. LPR-MNIST is a collection of 100,000 synthetic image-text pairs, generated by concatenating 5 black-and-white digits from MNIST, each padded to 32x32. 32 pixels of zero-padding are then randomly shared between the left and right sides of the… See the full description on the dataset page:
https://huggingface.co/datasets/FlorentMeyer/lpr_mnist.
