What is the Children vs Adults Classification dataset?

This dataset includes annotated images of individuals classified as children or adults. It supports AI and ML applications in facial analysis, healthcare, and demographic-based systems.

How is the dataset collected and annotated?

The dataset is manually collected and annotated by trained human experts following GTS.AI’s ISO 9001:2015 and 27001:2013 certified quality control process, ensuring accuracy and diversity.

Does the dataset include diverse demographics and regions?

Yes, the dataset includes participants from multiple countries and ethnic backgrounds, ensuring balanced representation across age, gender, and geography.

Is the dataset compliant with privacy and data protection standards?

Absolutely. All data collection and processing comply with GDPR, HIPAA, and global data privacy regulations. Personally identifiable information is removed before delivery.

Can I request a custom dataset or additional labels?

Yes. GTS.AI offers fully customizable datasets, labeling options, and scalable data collection for specific AI or ML project requirements.

Children vs Adults Classification

Home » Dataset Download » Children vs Adults Classification

Children vs Adults Classification

Datasets

File

Children vs Adults Classification

Use Case

Age verification

Description

A "Children vs Adults" classification task involves the classification of individuals into two categories: children and adults. This task can be applied in various contexts, such as age verification for online content, targeted advertising, monitoring age-restricted activities, or demographic analysis.

About Dataset

Welcome to our dataset! We have two folders: one for testing and one for training. The testing set has 120 images, and the training set has 680 images, with a ratio of 0.15 between them.

Image Characteristics

All images in this dataset are standardized to a resolution of 370×320 pixels and are in the RGB color model. Keeping the images uniform in size and format makes sure that they’re really useful for machine learning stuff.

Two Primary Classes

The dataset is structured around the classification of individuals into two primary categories:

Adults
Children

This classification schema is ideal for various AI applications, such as age estimation, facial recognition, and demographic analysis.

We’re calling all curious minds, researchers, and AI buffs to dive into our Kid vs. ripe allocation dataset. Adult Classification dataset. This dataset’s worth shines in crafting and testing tech that can tell apart adults from kids in photos, potentially boosting fields like child protection or age-focused market research.

Conclusion

At Globose Technology Solutions, we’re experts in accurately classifying images of children vs. adults. Our smart algorithms make sure we can identify people correctly while also respecting privacy and ethics for a safer online experience.

Download the dataset now!

Contact Us

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

Children vs Adults Classification