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Chalearn CASIA-SURF Dataset

Large-scale face Anti-spoofing dataset

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 curv

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Task
Face Detection
Annotation Types
Bounding Boxes
21000
Items
1000
Classes
21000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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