Deepfake-vs-Real-1440px-Max is a curated dataset of 28,000 portrait images designed for binary image classification tasks distinguishing between deepfake portraits and real portraits. This dataset supports training and evaluation of models in deepfake detection, media authenticity analysis, and facial integrity recognition.
Task: Binary Image Classification
Modalities: Image
Formats: Parquet
Split: Train (28,000 images)… See the full description on the dataset page:
https://huggingface.co/datasets/prithivMLmods/Deepfake-vs-Real-1440px-Max.
