Abstract: This study is done to enable real-time diagnosis of retinal diseases from fundus images using a hardwarecompatible and efficient convolutional neural network (CNN) architecture. A ...
Abstract: As deepfakes become more common on digital platforms, reliable detection is vital. For this study, we propose a hybrid ResNet-34-based deepfake detection model with a preprocessing pipeline ...
face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...
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