Shypd.aiThe largest open index of AI toolsLicense-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9 is an open-source tool for real-time detection and recognition of Chinese license plates. It achieves up to 99.8% accuracy, processing plates at 100 ms per plate.
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License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9 is an open-source project designed for real-time detection and recognition of Chinese license plates. It leverages deep neural networks to achieve high accuracy, up to 99.8%, with a processing speed of 100 milliseconds per plate. The project supports various detection methods including haar+cascade and MTCNN, and recognition techniques such as CNN for individual characters, BLSTM+CTC for full image recognition, and FCN for full convolutional recognition with character localization. It also provides detailed documentation on the underlying mathematical and machine learning principles, making it a valuable resource for developers and researchers in the field.
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