Search for images using text or image queries
Detect AI-generated images by analyzing texture contrast
Check image for adult content
Identify NSFW content in images
Demo EraX-NSFW-V1.0
Cinephile
Detect NSFW content in images
Detect NSFW content in images
Identify objects in images
Detect inappropriate images
Classify images based on text queries
Human Gender Age Detector
Detect and classify trash in images
Streamfront is an AI-powered tool designed to detect harmful or offensive content in images. It enables users to search for images using either text-based or image-based queries, making it a versatile solution for content moderation and image analysis. Streamfront is primarily focused on identifying inappropriate or unsafe content, ensuring a safer and more controlled environment for image-related applications.
• Content Filtering: Automatically detect and flag harmful or offensive content in images.
• Image Recognition: Utilize advanced AI algorithms to analyze images and identify inappropriate material.
• Text-Based Search: Find images using text queries, enabling quick and precise searches.
• Image-Based Search: Upload an image to find similar or related content, enhancing discovery capabilities.
• Customizable Thresholds: Adjust sensitivity levels to tailor content detection to specific needs.
• Scalable Solution: Handle large volumes of images efficiently, making it suitable for enterprise-level applications.
What types of harmful content can Streamfront detect?
Streamfront is trained to detect a wide range of harmful or offensive content, including explicit images, violence, and inappropriate material.
Can I customize the sensitivity of content detection?
Yes, Streamfront allows users to adjust the sensitivity thresholds to suit their specific requirements, ensuring accurate and relevant results.
Is Streamfront available for integration into other applications?
Yes, Streamfront is designed to be integrated into various platforms, enabling seamless content moderation and image analysis within existing systems.