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Duckduckgoose AI Tool Features, Use Cases & Alternatives

Duckduckgoose

Duckduckgoose - Analyzes doctored media.

Duckduckgoose Details

Duckduckgoose Info

Organization:
Duckduckgoose
Type:
  1. AI Image
Marked As:
SFW (Safe for Work)
Platform:
  1. Website
Pricing:
From $0
Rating:
4
(69 Likes)

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DeepDetector is a deep learning network designed to detect and recognize manipulated faces in images and videos, including deepfakes. This artificial neural network can distinguish between genuine images and computer-generated forgeries by analyzing thousands of real and deepfake images.

The technology can extract visible faces in a picture or video, analyze them, and detect deepfake traces with an accuracy rate of approximately 93%. The output of the analysis includes the probability of the input being a deepfake and the Activation Map, which offers an explanation behind the software’s decision by substantiating the classification.

DeepDetector can not only identify FaceSwaps and other AI-manipulations but also analyze characteristics of AI-generated content to detect synthetic media and AI-generated deepfakes. The tool also offers cloud-based access to customizable APIs to integrate DeepDetector into user workflows, ensuring data protection and privacy through compliance with European laws and regulations regarding data protection, privacy, and responsible AI.DeepDetector can be used for compliance purposes such as KYC, video conferencing, and journalism, as well as in penetration testing.

The tool is designed to provide explainable and accurate results, with 10+ deepfake types detected and an image analysis time of 1 second. In summary, DeepDetector is a powerful and reliable tool for detecting deepfakes and other AI-manipulations in images and videos.

More details about Duckduckgoose

What is the accuracy rate of DeepDetector?

The accuracy rate of DeepDetector is approximately 93%.

How does DeepDetector detect fake images or videos?

DeepDetector detects fake images or videos in three steps. First, it extracts all visible faces in the picture or video. It then activates its deep learning network to analyze the faces to find deepfake or AI-manipulated traces. Finally, it provides the output of the analysis which includes the probability of the input being a deepfake, as well as an Activation Map that explains the classification.

Can DeepDetector be integrated into my existing workflow?

Yes, DeepDetector can be integrated into existing workflows through its customizable APIs, which provide cloud-based access.

What is the image analysis time for DeepDetector?

The image analysis time for DeepDetector is 1 second.

What is the precision percentage of DeepDetector?

The precision percentage of DeepDetector, which pertains to the percentage of fake classifications that were actually fake, is 84.37%

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