metadata

license: apache-2.0
task_categories:
  - image-classification
language:
  - en
tags:
  - age
  - 10,000
  - image
  - video
  - art
  - synthetic
  - image-classification
size_categories:
  - 1K<n<10K

Face-Age-10K Dataset

The Face-Age-10K dataset consists of over 9,000 facial images annotated with age group labels. It is designed for training machine learning models to perform age classification from facial features.

Dataset Details

Total Images: 9,165
Image Size: 200x200 pixels
Format: Parquet
Modality: Image
Split:
- train: 9,165 images

Labels

The dataset includes 8 age group classes:

labels_list = [
  'age 01-10',
  'age 11-20',
  'age 21-30',
  'age 31-40',
  'age 41-55',
  'age 56-65',
  'age 66-80',
  'age 80 +'
]

Each image is labeled with one of the above age categories.

Usage

You can load this dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Face-Age-10K")

To access individual samples:

sample = dataset["train"][0]
image = sample["image"]
label = sample["label"]