Datasets › OFDIW
OFDIW (OnFocus Detection In the Wild)
OnFocus Detection In the Wild (OFDIW) is an onfocus detection dataset. It consists of 20,623 images in unconstrained capture conditions (thus called "in the wild'') and contains individuals with diverse emotions, ages, facial characteristics, and rich interactions with surrounding objects and background scenes. The images are collected from the LFW dataset and the Oxford-IIIT Pet dataset. Onfocus detection aims at identifying whether the focus of the individual captured by a camera is on the camera or not.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
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
- OFDIW
1 variant name, as the archive lists them.
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