Dataset Groups Activity Stream FFIW10K A novel large-scale dataset for face forgery detection in multi-person scenarios, comprising 10,000 high-quality forgery videos with an average of three human faces in each frame. BibTex: @dataset{Tianfei_Zhou_and_Wenguan_Wang_and_Zhiyuan_Liang_and_Jianbing_Shen_2024, abstract = {A novel large-scale dataset for face forgery detection in multi-person scenarios, comprising 10,000 high-quality forgery videos with an average of three human faces in each frame.}, author = {Tianfei Zhou and Wenguan Wang and Zhiyuan Liang and Jianbing Shen}, doi = {10.57702/mex3huh1}, institution = {No Organization}, keyword = {'face forgery', 'large-scale dataset', 'multi-person scenarios'}, month = {dec}, publisher = {TIB}, title = {FFIW10K}, url = {https://service.tib.eu/ldmservice/dataset/ffiw10k}, year = {2024} }
