METHODS AND EFFECTIVENESS OF APPLYING ALGORITHMS FOR PRE-PROCESSING FACE IMAGES
Keywords:
image processing algorithms, FaceNetAbstract
Facial image preprocessing algorithms play an important role in biometric systems, face recognition, and expression analysis. This article demonstrates that facial image preprocessing is one of the most important stages of model training, and facial image preprocessing is essential for successful training of a neural network and ensuring high accuracy. The quality of the preprocessing directly affects not only the speed of data processing of the model, but also its accuracy in complex conditions. Properly processed data ensures effective training of a neural network and high-accuracy results.
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