Datasets › MFH

MFH

Introduced by Huy Q. Vo et al. in Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene7 Sep 2021 archive 2025-07-28

The MFH dataset is a multi-viewpoint fine-grained hand hygiene dataset. It contains 73,1147 samples in total, which are collected by 6 camera views in 6 different locations. All samples are split into 7 classes in total. MFH dataset is distinguished from existing datasets in three aspects: the large intra-class difference, the subtle inter-class difference, and the data mismatch in distribution between the training phase and the inference phase. This dataset thus provides a more realistic benchmark.

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 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MFH

1 variant name, as the archive lists them.

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