Age Detection - Object Detection dataset

The dataset is created on the basis of Selfies and ID Dataset

The dataset is a collection of images of people from various age groups. It has been specifically curated for age prediction and face recognition tasks. The dataset encompasses diverse demographics, ethnicities, and genders.

Age groups of people in the dataset: 18-20, 21-30, 31-40, 41-50 and 51-60

The dataset is a valuable resource for researchers, developers, and organizations working on age prediction and face recognition to train, evaluate, and fine-tune AI models for real-world applications. It can be applied in various domains like psychology, market research, and personalized advertising.

💴 For Commercial Usage: Full version of the dataset includes 95 000+ photos of people, leave a request on TrainingData to buy the dataset

Metadata for the full dataset:

• assignment_id - unique identifier of the media file
• worker_id - unique identifier of the person
• age - age of the person
• true_gender - gender of the person
• country - country of the person
• ethnicity - ethnicity of the person
• photo_1_extension, photo_2_extension, …, photo_15_extension - photo extensions in the dataset
• photo_1_resolution, photo_2_resolution, …, photo_15_resolution - photo resolution in the dataset

OTHER BIOMETRIC DATASETS:

• Anti Spoofing Real Dataset
• Antispoofing Replay Dataset
• Selfies, ID Images dataset (5591 sets of 15 files)
• Selfies and video dataset (4 052 sets)
• Dataset of bald people, 5000 images

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to learn about the price and buy the dataset

Content

The dataset is split into train and test folders, each folder includes:

• folders 18-20, 21-30, ..., 51-60 - folders with images of people from the corresponding age group,
• .csv file - contains information about the images and people in the dataset

File with the extension .csv

• file: link to access the file,
• age: age group of a person in the photo (18-20, 21-30, 31-40, 41-50, 51-60),
• split: classification on train and test

TrainingData provides high-quality data annotation tailored to your needs

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