LFW Face Database : Main
On October 29th at ICCV 2019 in Seoul, the creators of LFW were honored with the Mark Everingham Award for service to the Computer Vision Community. Thanks to all that have participated in making LFW a success! New results page: We have recently updated and changed the format and content of our results page. Please refer to the new technical report for details of the changes. Labeled Faces in the
Face Recognition Homepage - Databases
DATABASES When benchmarking an algorithm it is recommendable to use a standard test data set for researchers to be able to directly compare the results. While there are many databases in use currently, the choice of an appropriate database to be used should be made based on the task given (aging, expressions, lighting etc). Another way is to choose the data set specific to the property to be teste
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Dataset Zoo
Papers with Code - Glint360K Dataset
GitHub - JingchunCheng/All-Age-Faces-Dataset: All-Age-Faces (AAF) Database.
