Deepfake Detection via Deep Learning Models
Budget: ₹600 – ₹1,500 INR
I'm seeking an experienced freelancer to implement four deep learning models for deepfake image detection.
The selected models should include:
- Convolutional Neural Network (CNN)
- Generative Adversarial Network (GAN)
- Long Short-Term Memory (LSTM)
- A fourth model of your recommendation
Three datasets will be used for training and validation. I prefer the usage of CelebA, the Deepfake Detection Dataset (DFD), and UADFV, but I am open to other high-quality image datasets.
The analysis of these models should include:
- Accuracy evaluation
- False positive and false negative analysis
- Comprehensive comparison of model performance
The ideal candidate will have extensive experience in deep learning, particularly with CNNs, GANs, and LSTMs. Proficiency with image dataset handling and model evaluation is also required.
The selected models should include:
- Convolutional Neural Network (CNN)
- Generative Adversarial Network (GAN)
- Long Short-Term Memory (LSTM)
- A fourth model of your recommendation
Three datasets will be used for training and validation. I prefer the usage of CelebA, the Deepfake Detection Dataset (DFD), and UADFV, but I am open to other high-quality image datasets.
The analysis of these models should include:
- Accuracy evaluation
- False positive and false negative analysis
- Comprehensive comparison of model performance
The ideal candidate will have extensive experience in deep learning, particularly with CNNs, GANs, and LSTMs. Proficiency with image dataset handling and model evaluation is also required.