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DeepDetector is a deep learning network that detects and recognizes modified faces in photos and videos, such as deepfakes. By examining thousands of actual and deepfake photos, this artificial neural network can discriminate between genuine and computer-generated frauds. With an accuracy rate of around 93%, the system can extract visible faces in a photo or video, evaluate them, and detect deepfake traces. The analysis’s result comprises the probability of the input being a deepfake as well as the Activation Map, which provides a rationale for the software’s decision by substantiating the categorization.DeepDetector can not only detect FaceSwaps and other AI manipulations, but it can also assess AI-generated content characteristics to recognize synthetic media and AI-generated deepfakes.

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