Table 4.
Datasets for facial expression recognition.
| Name | Type | Details | Number of Emotion Categories | Number of Samples |
|---|---|---|---|---|
| BP4D [197] | Induced | 41participants; 4 ethnicities; 18–29 years old |
8 | 368,036 |
| CK+ [198] | Induced | 123 participants; 23 facial displays; 21–53 years old |
7 | 593 sequences |
| BU-4DEF [199] | Induced | 101 participants; 5 ethnicities |
6 | 606 sequences |
| SEWA [200] | Induced | 96 participants; 6 ethnicities; 18–65 years old |
7 | 1990 sequences |
| MMI-V [201] | Performer-based | 25 participants; 3 ethnicities; 19–62 years old |
6 | 1.5 h |
| JAFFE [202] | Performer-based | 10 participants | 6 | 213 |
| BU-3DEF [203] | Performer-based | 100 participants 18–70 years old |
6 | 2500 |
| AffectNet [204] | Natural | Average age is 33.01 years old; downloaded from the Internet |
6 | 450,000 |
| RAF-DB [205] | Natural | Collected from Flickr | compound | 29,672 |
| EmotioNet [206] | Natural | Downloaded from the Internet | compound | 1,000,000 |