uaebn/lagenda

LAGENDA Dataset

This is a community mirror of the LAGENDA dataset created by LayerTeam. It has been uploaded here for easier access and integration with the Hugging Face datasets library. All credit, rights, and accolades belong to the original authors. Please see the citation section below.

Dataset Description

LAGENDA (Large Age and Gender Dataset) is a dataset designed for age and gender recognition tasks. It addresses common biases in existing datasets by ensuring a near-perfect balance for all ages up to ~65 years.

• —Original Creator: LayerTeam
• —Source: Original Project Page / GitHub
• —Total Images: 67,159 (sourced from Open Images Dataset)
• —Total Individuals: 84,192
• —Age Range: 0 to 95 years

Data Structure

The dataset includes images and an associated annotation structure (originally CSV) containing:

• —img_name: The identifier of the image.
• —age: Estimated age.
• —gender: Estimated gender.
• —face_x0, face_y0, face_x1, face_y1: Bounding box for the face.
• —person_x0, person_y0, person_x1, person_y1: Bounding box for the person.

(Note: values of -1 indicate no ground truth answer for that specific field).

License

The dataset is released under the CC BY 2.0 license.

• —You are free to share and adapt the material.
• —Attribution is required.

Citation

@article{mivolo2023,
  Author = {Maksim Kuprashevich and Irina Tolstykh},
  Title = {MiVOLO: Multi-input Transformer for Age and Gender Estimation},
  Year = {2023},
  Eprint = {arXiv:2307.04616},
}

@article{mivolo2024,
  Author = {Maksim Kuprashevich and Grigorii Alekseenko and Irina Tolstykh},
  Title = {Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation},
  Year = {2024},
  Eprint = {arXiv:2403.02302},
}