To enrich this dataset, consider including:
Metadata: Detailed annotations indicating the type and extent of manipulations for fake images.
Diverse Sources: Images from various social media platforms and geographic locations to improve model generalization.
Verification Tools: Scripts or guidelines for verifying the authenticity of new images added to the dataset.
By leveraging this comprehensive dataset, researchers and developers can enhance the accuracy and reliability of systems designed to detect and prevent the spread of fake identities online. This dataset provides a valuable resource for advancing the field of facial recognition and promoting internet safety. Researchers can explore various algorithms and methodologies to improve detection capabilities, fostering innovation and collaboration in the fight against digital deception.