Reader small image

You're reading from  Developing Kaggle Notebooks

Product typeBook
Published inDec 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781805128519
Edition1st Edition
Languages
Right arrow
Author (1)
Gabriel Preda
Gabriel Preda
author image
Gabriel Preda

Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.
Read more about Gabriel Preda

Right arrow

Introducing the competition

In this chapter, we examine data from the well-known Kaggle competition the Deepfake Detection Challenge (DFDC). The competition, detailed in Reference 1, commenced on December 11, 2019, and concluded on March 31, 2020. It attracted 2,265 teams comprising 2,904 participants, who collectively made 8,951 submissions. Competitors vied for a total prize pool of $1,000,000, with the first prize being $500,000.

The event was a collaborative effort involving AWS, Facebook, Microsoft, the Partnership on AI’s Media Integrity Steering Committee, and various academic entities. At the time, there was a widespread agreement among tech industry leaders and academics on the technical complexity and rapidly changing nature of media content manipulation. The competition’s aim was to encourage global researchers to devise innovative and effective technologies to detect deepfakes and media manipulation. Unlike later competitions that focused on code, this...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Developing Kaggle Notebooks
Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519

Author (1)

author image
Gabriel Preda

Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.
Read more about Gabriel Preda