Category: A2; Team name: GAAIMC; Dataset: 3D2M

[ixime]

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Description

This PR adds the 3D2M dataset published in [1] for the TAG-DS Topological deep learning Challenge 2025: Expanding the Data Landscape.

This is a dataset of 3D meshes featuring a diverse range of male and female facial structures. The dataset comprises 188 3D facial meshes, including 73 from female candidates and 114 from male candidates. It encompasses a broad representation of ethnic backgrounds, with contributions from 45 different ethnicities, ensuring a rich diversity in facial characteristics. [1]

It was implemented for classification on a cell-complex level, having as labels female and non-female.

References:

[1] DASGUPTA, Sankarshan. 3D2M Dataset: A 3-Dimension diverse Mesh Dataset. arXiv preprint arXiv:2410.07415, 2024.

Issue

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