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Post Reply: Deepfake Datasets: Role and Practical Application

<blockquote><div class="quotetitle">Quote from <a class="profile-link highlight-default" href="https://speakoutu.org/our-forum/profile/braydenr51/">braydenr51</a> on April 27, 2022, 8:04 am</div><i>Deepfake datasets include real and synthesized media, which is necessary for training and testing anti-deepfake solutions.</i>

Deepfake dataset is a collection of artificially synthesized media, which can include photo, video, and audio materials. Their origin was urged by the proliferation of deepfake media that represents a steadily growing social threat.

The Main Datasets Used for Deepfake Detection:
<ol>
 	<li>UADFV</li>
 	<li>DF-TIMIT</li>
 	<li>FaceForensics++</li>
 	<li>Google/Jigsaw DeepFake Detection Dataset</li>
 	<li>Facebook DeepFake Detection Challenge Dataset (DFDC)</li>
 	<li>Celeb-DF</li>
 	<li>DeeperForensics 1.0</li>
 	<li>WildDeepfake</li>
 	<li>DF-Mobio</li>
</ol>
Sourse: <a href="https://antispoofing.org/Deepfake_Datasets:_Role_and_Practical_Application">https://antispoofing.org/Deepfake_Datasets:_Role_and_Practical_Application</a></blockquote><br>

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