Upload folder using huggingface_hub

.gitattributes

@@ -0,0 +1,59 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

Age Difference Images Dataset.csv

@@ -0,0 +1,3 @@
+id,gender,path
+1,Male,1/image.jpg
+2,Male,2/image.jpg

README.md

@@ -0,0 +1,40 @@
+---
+license: cc-by-nd-4.0
+task_categories:
+- image-classification
+tags:
+- Facial Recognition
+- Computer Vision
+- Image
+- Machine learning
+- Anti-spoofing
+size_categories:
+- 10K<n<100K
+---
+# Age Difference Images Dataset for Facial Recognition
+
+Dataset comprises **10,557** images of **2,627** unique individuals captured at different stages of their lives, showcasing the same people across various ages. It is designed for research in **age estimation**, **facial aging analysis**, and **age progression modeling**, providing a robust foundation for **machine learning models** and **statistical analysis**.
+
+By leveraging this dataset, researchers and developers can explore **age differences**, **gender variations**, and **age distributions** across different age groups, enabling advancements in **face recognition**, **biometrics**, and **human aging studies**. - **[Get the data](https://unidata.pro/datasets/age-difference-images-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=age-difference-dataset)**
+
+Each entry highlights significant differences in facial features over time, allowing researchers to study age progression patterns, aging gaps between genders, and variations across different life stages. The dataset’s high-quality images and structured metadata support precise age estimation models, cross-age face verification, and synthetic aging simulations.
+
+# Frequently Asked Questions
+
+## What is this age difference dataset used for?
+
+This age difference dataset is designed for computer vision research involving changes in a person’s appearance over time. It can support age estimation, age recognition, facial recognition, and research into age-related facial characteristics.
+
+## How are the images organized for each person?
+
+The dataset contains four images per person, providing multiple observations that can be used to study age-related changes in facial appearance.
+
+## What demographic information is represented?
+
+The dataset includes male and female participants and covers young and middle-aged people.
+
+# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/age-difference-images-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=age-difference-dataset) to discuss your requirements and pricing options.
+
+For researchers seeking a reliable, large-scale dataset on human aging, this collection offers diverse, well-annotated data with real-world applicability.
+
+# 🌐 [UniData](https://unidata.pro/datasets/age-difference-images-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=age-difference-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects