Deep Learning Models Compared for Pornographic Content Detection: CNN vs. VGG-16
Published:Dec 17, 2025 03:35
•1 min read
•ArXiv
Analysis
The article analyzes the performance of Convolutional Neural Networks (CNNs) and VGG-16 in detecting pornographic content. This research contributes to the ongoing efforts to develop robust AI-powered content moderation systems.
Key Takeaways
- •Compares the effectiveness of CNN and VGG-16 for pornographic content identification.
- •Contributes to the development of AI-based content moderation technologies.
- •Provides insights into the strengths and weaknesses of different deep learning architectures in this specific domain.
Reference
“The study compares CNN and VGG-16 models.”