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"]