Appa Real Face Cropped
Appa Real Face Cropped
Datasets
Appa Real Face Cropped
File
Appa Real Face
Use Case
Appa Real Face
Description
Explore the Appa Real Face Cropped Dataset, featuring 7,591 meticulously cropped and aligned images for accurate age estimation and facial recognition.
Description:
The Appa Real Face Cropped dataset contains 7,591 high-quality facial images, all carefully cropped and aligned to ensure each face is centered for optimal analysis. These images are ideal for machine learning and AI applications, especially for tasks like age estimation, facial recognition, and biometric analysis. Derived from the original APPA-REAL database, the dataset includes both real and apparent age labels for each image. Crowd-sourcing provided the apparent age labels, with an average of 38 votes per image, resulting in highly reliable age estimations and a standard error of just 0.3.
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Context:Â The Appa Real Face Cropped dataset, originally divided into separate training, testing, and validation sets, has been consolidated into a single collection of 7,591 images. These images are meticulously cropped and aligned, ensuring centered faces for optimal machine learning model training. Researchers widely use this dataset for tasks like age estimation, facial recognition, and other AI applications focused on age-related feature prediction. Each image includes both real and apparent age labels, crowd-sourced from an average of 38 votes per image. This voting process provides highly reliable apparent age estimations with a standard error as low as 0.3, ensuring high-quality labels for precise age prediction tasks.
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