Roboflow Universe Mary Dhel Moonton Gender_Age

Gender_Age Computer Vision Project

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If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ gender_age_dataset,
    title = { Gender_Age Dataset },
    type = { Open Source Dataset },
    author = { Mary Dhel Moonton },
    howpublished = { \url{ https://universe.roboflow.com/mary-dhel-moonton-bnc07/gender_age } },
    url = { https://universe.roboflow.com/mary-dhel-moonton-bnc07/gender_age },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-03-20 },
}

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Source

Mary Dhel Moonton

Last Updated

12 hours ago

Project Type

Object Detection

Subject

Male-Female

Classes

Female Age: 1, Female Age: 2, Female Age: 22, Female Age: 24, Female Age: 25, Female Age: 28, Female Age: 30, Female Age: 35, Female Age: 45, Female Age: 50, Female Age: 60, Female Age: 75, Female Age:3, Female Age:40, Male Age: 1, Male Age: 2, Male Age: 22, Male Age: 24, Male Age: 25, Male Age: 28, Male Age: 3, Male Age: 30, Male Age: 35, Male Age: 40, Male Age: 45, Male Age: 50, Male Age: 60, Male Age: 70, Male Age: 75