ModelPublicadoExterno

Deepfake Video Classifier

🎬 Detect manipulated videos with 95.73% accuracy

Fuentehuggingface.co/oo01/deepfake-video-classifier/tree/ebdeb16815caf22fd14081f60f2778b5d208ca7c

TipoOtherVersiónFfpp efficientnet bestCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 49,7 MB
Versión: vFfpp efficientnet best
Actualizado: 24 oct 2026
Fuente: Hugging Face

Descripción de la fuente

Deepfake Video Classifier

🎬 Detect manipulated videos with 95.73% accuracy

This model analyzes video frames to determine if content is REAL or a DEEPFAKE. It is Trained on Celebdf v2 dataset and it uses efficientnet B-0. (https://www.kaggle.com/datasets/reubensuju/celeb-df-v2) Developed by Sajjal Fatima, a Software Engineering student at Punjab University College of Information & Technology (PUCIT), Lahore, Pakistan.

🚀 Quick Start

from model import DeepFakeModel
from utils import video_to_tensor

# Load model
model = DeepFakeModel("ffpp_efficientnet_best.pth")

# Process video
video_tensor = video_to_tensor("your_video.mp4")
result = model.predict(video_tensor)

print(f"Prediction: {result['prediction']}")  # REAL or FAKE
print(f"Confidence: {result['confidence']:.2%}")

Fuentes

1 fuente

Hugging FacePrincipalVersión ebdeb16815caf22fd14081f60f2778b5d208ca7c

huggingface.co/oo01/deepfake-video-classifier/tree/ebdeb16815caf22fd14081f60f2778b5d208ca7c

Verificado 24 oct

Artefactos del modelo

1 artefacto

ffpp_efficientnet_best.pth

pth · 49,7 MB · SHA-256 a562ddf6f7f5…d18f · Hugging Face

Download file

Extractos de fuentes

2 extractos

Readme6 agohuggingface.co/oo01/deepfake-video-classifier

--- license: mit tags: - deepfake-detection - video-classification - efficientnet - celeb df v2 pipeline_tag: video-classification widget: - src: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/thumbnail.png example_title: "Sample Detection" --- # Deepfake Video Classifier 🎬 **Detect manipulated videos with 95.73% accuracy** This model analyzes video frames to determine if content is REAL or a DEEPFAKE. It is Trained on Celebdf v2 dataset and it uses efficientnet B-0. (https://www.kaggle.com/datasets/reubensuju/celeb-df-v2) Developed by Sajjal Fatima, a Software Engineering student at Punjab University College of Information & Technology (PUCIT), Lahore, Pakistan. ## 🚀 Quick Start ```python from model import DeepFakeModel from utils import video_to_tensor # Load model model = DeepFakeModel("ffpp_efficientnet_best.pth") # Process video video_tensor = video_to_tensor("your_video.mp4") result = model.predict(video_tensor) print(f"Prediction: {result['prediction']}") # REAL or FAKE print(f"Confidence: {result['confidence']:.2%}")

Note6 agohuggingface.co/oo01/deepfake-video-classifier

Source context: 0 downloads · 0 likes · Pipeline video-classification · Repo oo01/deepfake-video-classifier