Datasets › MAFL
MAFL (Multi-Attribute Facial Landmark)
The MAFL dataset contains manually annotated facial landmark locations for 19,000 training and 1,000 test images.
Source: Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance Image Source: http://mmlab.ie.cuhk.edu.hk/projects/TCDCN.html
Benchmarks archive 2025-07-28
All 1 leaderboard 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 | ||||
|---|---|---|---|---|---|---|
| Unsupervised Facial Landmark Detection | MAFL | Deep Latent Particles NME 2.43 | Unsupervised Image Representation Learning with Deep... | taldatech/deep-latent-particles-pytorch | 13 | Compare |
Papers archive 2025-07-28
12 shown of 12 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 36. 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
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MAFL
1 variant name, as the archive lists them.
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