Table 1.
Standardized data | ||||||||
Neutral | Happy | Sad | Fear | Angry | Surprise | Disgust | Overall | |
Absolute frequency of images | 178 | 178 | 178 | 178 | 178 | 178 | 178 | 1246 |
Relative frequency of images | 14.3 | 14.3 | 14.3 | 14.3 | 14.3 | 14.2 | 14.2 | 100 |
Drop out rates (percent per category) | ||||||||
Face++ | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Azure | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
FaceReader | 0.6 | 0.0 | 0.0 | 1.1 | 1.1 | 2.2 | 1.2 | 0.88 |
Non-standardized data | ||||||||
Neutral | Happy | Sad | Fear | Angry | Surprise | Disgust | Overall | |
Absolute frequency of images | 236 | 270 | 245 | 143 | 254 | 151 | 88 | 1387 |
Relative frequency of images | 17.0 | 19.5 | 17.7 | 10.3 | 18.3 | 10.9 | 6.3 | 100 |
Drop out rates (percent per category) | ||||||||
Face++ | 0.0 | 0.7 | 0.8 | 0.7 | 0.4 | 0.0 | 1.1 | 0.5 |
Azure | 16.9 | 11.1 | 25.3 | 26.6 | 25.2 | 17.9 | 23.9 | 20.3 |
FaceReader | 73.3 | 70.0 | 75.1 | 79.0 | 76.8 | 74.8 | 69.3 | 74.2 |
Percentages are rounded to the first decimal. The base of the percentage is the respective total of each category. Reading example: Azure did not find a face in 16.9% of the 236 neutral images of the non-standardized data and a total of 20.3% of the 1387 images dropped out because of no face detection.