Dataset comprises 87,800+ images annotated with 100+ landmarks, providing a comprehensive foundation for research in face recognition, segmentation tasks, and object recognition. It is designed to support the development of learning models, recognition algorithms, and segmentation techniques.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in facial recognition, face analysis, and vision tasks. - Get the data
It is an invaluable resource for improving segmentation performance and exploring deep learning techniques in the realm of facial analysis.
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The dataset features detailed annotations that cover a wide range of face attributes and expression recognition, allowing for comprehensive analysis in vision research.