---
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:

```python
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:

```python
from datasets import load_dataset

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

To access individual samples:

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