Update README.md

README.md

@@ -1,3 +1,68 @@
----
-license: apache-2.0
----
+---
+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"]
+```