The dataset comprises images generated using computational fluid dynamics (CFD) simulations for two cases: flow past an elliptic cylinder and flow past an aerofoil. Here are the details:
Elliptic Cylinder Dataset:
Images: 124 for low-speed and 124 for high-speed. Conditions: Simulated for Reynolds numbers of 200 (low-speed) and 5000 (high-speed).
Aerofoil Dataset:
Images: 250 for low-speed and 250 for high-speed. Conditions: Simulated under similar Reynolds number settings of 200 and 5000 for laminar and turbulent flows, respectively.
The dataset contains thermal and visible images of volunteers taken in different places to develop face detection algorithms. By providing both thermal and visible face images in a single dataset, our dataset empowers researchers, scientists, and developers to leverage the strengths of each image type. The dataset can be utilized for tasks like biometric authentication, emotion recognition, facial expression analysis, age estimation, and gender classification.