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Table 2 ‘Off-the-shelf’ frontal face detector performance

From: A review of image-based automatic facial landmark identification techniques

 

BioID (N = 1521)

MUCT (N=3755)

HELEN# (N = 2330)

300W# (N = 600)

Menpo (Front)# (N=6679)

Detector

% Acc

False P

% Acc

False P

% Acc

False P

% Acc

False P

% Acc

False P

OpenCV 1

96.45

184

97.95

616

89.06

3548

75.33

6203

73.24

2775

OpenCV 2

96.12

28

98.24

77

84.64

447

71.17

3574

67.35

387

OpenCV 3

96.45

52

98.62

135

85.88

821

72.00

3966

69.35

670

OpenCV 4

N/A

N/A

N/A

N/A

27.21

274

24.83

1597

22.74

349

Dlib

99.34

1

99.89

6

96.82

351

88.17

2488

87.50

339

  1. #Some images in this dataset contain more faces than just the ground truth. These additional faces may be recorded as a false positive result