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In addition, Albumentations has been used in many winning solutions for computer vision competitions, including the DeepFake Detection challenge at Kaggle with a prize of 1 million dollars. [ 6 ] Example
And last year, Facebook hosted the Deepfake Detection Challenge, an open, collaborative initiative to encourage the creation of new technologies for detecting deepfakes and other kinds of ...
The winning model of the Deepfake Detection Challenge was 65% accurate on the holdout set of 4,000 videos. [175] A team at Massachusetts Institute of Technology published a paper in December 2021 demonstrating that ordinary humans are 69–72% accurate at identifying a random sample of 50 of these videos.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Hugging Face, Inc. is an American company incorporated under the Delaware General Corporation Law [1] and based in New York City that develops computation tools for building applications using machine learning.
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Fei-Fei Li (Chinese: 李飞飞; pinyin: Lǐ Fēifēi; born July 3, 1976) is a Chinese-American computer scientist known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s.
Another recent challenge is the ADD [77] —Audio Deepfake Detection—which considers fake situations in a more real-life scenario. [ 78 ] Also the Voice Conversion Challenge [ 79 ] is a bi-annual challenge, created with the need to compare different voice conversion systems and approaches using the same voice data.