Safran-MNIST-DLS

<p>This dataset contains images of serial numbers extracted from diverse avionic parts manufactured by&nbsp;<strong><a href="https://www.safran-group.com/">SAFRAN</a></strong>, the international high-technology group and world leader operating in the aviation (propulsion, equipment and interiors), defense and space markets. This dataset resembles the well-known MNIST dataset, but with a focus to industrial contexts, encompassing variations in lighting conditions, orientations, writing styles and surface textures.&nbsp;</p> <p>The dataset contains 32 classes depicting numbers, alphabetic characters, and symbols, namely: [0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S, T, U, W, Y, /, .]</p> <p>April 30th, 2024 : Training dataset containing 9314 images without labels is released.</p> <p>December 5th, 2024 : Testing and validation datasets released, ground-truth labels for training, validation and testing released.</p> <p>This dataset has been proposed in the context of&nbsp;<a title="https://dagecc-challenge.github.io/icpr2024/" href="https://dagecc-challenge.github.io/icpr2024/" target="_blank" rel="noreferrer noopener">ICPR24 DAGECC Competition</a></p>