Chalearn CASIA-SURF Dataset

by Shifeng Zhang,Xiaobo Wang,Ajian Liu,Chenxu Zhao,Jun Wan,Sergio Escalera,Hailin Shi,Zezheng Wang,Stan Z. LiResearch Only

Chalearn CASIA-SURF Dataset

Chalearn CASIA-SURF is a face Anti-spoofing dataset which consists of 1, 000 subjects and 21, 000 video clips with 3 modalities (RGB, Depth, IR). As shown in Fig 1 and Table 1, our dataset has two advantages: (1) It is the largest one in term of number of subjects and videos; (2) Our dataset has three modalities (i.e., RGB, Depth and IR). In the proposed dataset, each sample includes 1 live video clip, and 6 fake video clips under different attack ways (one at tack way per fake video clip). In the different attack styles, the printed flat or curved face images will be cut eyes, nose, mouth areas, or their combinations. Finally, 6 attacks are generated in the CASIA-SURF dataset. Fake samples are shown in Fig. 2. Detailed information of the 6 attacks is given below. • Attack 1: One person hold his/her flat face photo where eye regions are cut from the printed face. • Attack 2: One person hold his/her curved face photo where eye regions are cut from the printed face. • Attack 3: One person hold his/her flat face photo where eyes and nose regions are cut from the printed face. • Attack 4: One person hold his/her curved face photo where eyes and nose regions are cut from the printed face. • Attack 5: One person hold his/her flat face photo where eyes, nose and mouth regions are cut from the printed face. • Attack 6: One person hold his/her curved face photo where eyes, nose and mouth regions are cut from the printed face.

Dataset Attributes

Label SVG
TasksClassification
Label SVG
CategoriesFace, Spoofing, Identity
Label SVG
SensorRGB-D Camera