Happy, Sad, Angry, Winking, Closing Eyes, Opening Mouth
A diverse and extensive collection of 3D facial data featuring 8,400 individuals from over 20 countries, encompassing a broad spectrum of ethnicities, ages (18-55), and genders. Each participant contributes six high-quality videos, each capturing a distinct facial expression: Happy, Sad, Angry, Winking, Closing Eyes, and Opening Mouth.
The dataset is meticulously gathered under standardized indoor lighting conditions, ensuring consistency and accuracy. It is specifically designed to enhance AI model performance in facial recognition, emotion detection, and anti-spoofing applications. Unlock the full potential of your AI solutions with our expertly curated dataset.
Our dataset offers a rich collection of multiracial facial images and videos, captured under varying lighting conditions to simulate real-world scenarios.
It includes a wide range of expressions, postures, and facial occlusions, providing comprehensive data to train robust AI models.
We prioritize quality by delivering high-resolution imagery, ensuring consistent detail and accuracy even under diverse lighting environments.
Diversity is a cornerstone of our dataset. It features individuals across different age groups with a balanced gender ratio. Our globally inclusive dataset represents a wide spectrum of ethnicities, including African, Asian, Caucasian, and Southeast Asian individuals, offering a holistic foundation for developing AI solutions that excel in accuracy and fairness.
