# High-precision mask detection

A series of object detection and segmentation models trained based on the YOLOv8 and YOLOv11 architectures, focusing on artistic image processing

A binary classification model based on ResNet50 architecture for detecting whether people in images are wearing masks, with an accuracy rate of 97.7%

A mask detection model using the ConvNeXt architecture, trained on the Face-Mask18K dataset with an accuracy rate of 99.61%.

A Vision Transformer model trained on the Face-Mask18K dataset for mask detection tasks, achieving an accuracy of 98.94%.