Datasets › BP4D
BP4D
The BP4D-Spontaneous dataset is a 3D video database of spontaneous facial expressions in a diverse group of young adults. Well-validated emotion inductions were used to elicit expressions of emotion and paralinguistic communication. Frame-level ground-truth for facial actions was obtained using the Facial Action Coding System. Facial features were tracked in both 2D and 3D domains using both person-specific and generic approaches. The database includes forty-one participants (23 women, 18 men). They were 18 – 29 years of age; 11 were Asian, 6 were African-American, 4 were Hispanic, and 20 were Euro-American. An emotion elicitation protocol was designed to elicit emotions of participants effectively. Eight tasks were covered with an interview process and a series of activities to elicit eight emotions. The database is structured by participants. Each participant is associated with 8 tasks. For each task, there are both 3D and 2D videos. As well, the Metadata include manually annotated action units (FACS AU), automatically tracked head pose, and 2D/3D facial landmarks. The database is in the size of about 2.6TB (without compression).
Source: http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html Image Source: http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Facial Action Unit Detection | BP4D | FMAE-IAT Average F1 67.1 | Representation Learning and Identity Adversarial... | forever208/fmae-iat | 10 | Compare |
| Facial Expression Recognition (FER) | BP4D | Norface ICC 0.74 | Norface: Improving Facial Expression Analysis by... | liuhw01/Norface | 2 | Compare |
| Action Unit Detection | BP4D | AU R-CNN Avg F1 63.1 | AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for... | sharpstill/AU_R-CNN +1 | 1 | Compare |
Papers archive 2025-07-28
9 shown of 9 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 104. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- BP4D
1 variant name, as the archive lists them.
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