datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AI-vs-Deepfake-vs-Real
AI vs Deepfake vs Real
AI vs Deepfake vs Real is a dataset designed for image classification, distinguishing between artificial, deepfake, and real images. This dataset includes a diverse collection of high-quality images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the development of more robust AI-generated and deepfake detection models.
Label Mappings
Mapping of IDs to… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/AI-vs-Deepfake-vs-Real.Deepfake-vs-Real-v2
Deepfake-vs-Real-v2
Deepfake-vs-Real-v2 is a dataset designed for image classification, distinguishing between deepfake and real images. This dataset includes a diverse collection of high-quality deepfake images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the development of more robust deepfake detection models.
Label Mappings
Mapping of IDs to Labels: {0: 'Deepfake', 1:… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepfake-vs-Real-v2.Deepfake-vs-Real-60K
Deepfake-vs-Real-60K
Deepfake-vs-Real-60K is a large-scale image classification dataset designed to distinguish between deepfake and real facial images. The dataset includes approximately 60,000 high-quality images, comprising 30,000 fake (deepfake) and 30,000 real images, to support the development of robust deepfake detection models.
By providing a well-balanced and diverse collection, Deepfake-vs-Real-60K aims to enhance classification accuracy and improve generalization for… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepfake-vs-Real-60K.Deepfake-vs-Real
Deepfake vs Real
Deepfake vs Real is a dataset designed for image classification, distinguishing between deepfake and real images. This dataset includes a diverse collection of high-quality deepfake images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the development of more robust deepfake detection models.
Label Mappings
Mapping of IDs to Labels: {0: 'Deepfake', 1: 'Real'}… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepfake-vs-Real.Deepfake-vs-Real-1440px-Max
Deepfake-vs-Real-1440px-Max
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.
Dataset Summary
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.