Deep learning project "Strike with BLOD": Analyzing the impact of Blur, Lightness, Occlusion, and Darkness on traffic sign recognition performance of CNN network
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Updated
Jul 8, 2019 - HTML
Deep learning project "Strike with BLOD": Analyzing the impact of Blur, Lightness, Occlusion, and Darkness on traffic sign recognition performance of CNN network
Random augmentation for machine learning experiments.
Applied Machine Learning project for Data Science master degree
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A novel lane detection algorithm based on BezierLaneNet, ranked No.4 on LLAMAS test bechmark
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