Analyze image and highlight detected objects
Analyze images and categorize NSFW content
Identify inappropriate images in your uploads
Identify objects in images based on text descriptions
Cinephile
Classifies images as SFW or NSFW
Find explicit or adult content in images
Analyze images and check for unsafe content
AI Generated Image & Deepfake Detector
Object Detection For Generic Photos
Identify NSFW content in images
🚀 ML Playground Dashboard An interactive Gradio app with mu
Check images for adult content
The Finetuned Yolo Id Identifier is a specialized version of the YOLO (You Only Look Once) object detection model, specifically designed to detect harmful or offensive content in images. It has been fine-tuned to recognize and highlight objects or patterns that may violate content guidelines, making it a powerful tool for content moderation and analysis.
• Harmful Content Detection: Advanced object detection to identify potentially offensive or inappropriate content in images.
• Real-Time Processing: Capable of analyzing images quickly, making it suitable for real-time applications.
• High Accuracy: Fine-tuned to deliver precise results, reducing false positives and negatives.
• Object Highlighting: Automatically highlights detected objects or areas of concern for easy review.
• Integration Friendly: Compatible with various platforms and workflows for seamless integration.
• Logging and Reporting: Stores detailed logs of detected content for further analysis and compliance purposes.
1. What types of harmful content can Finetuned Yolo Id Identifier detect?
The tool is designed to detect a wide range of harmful or offensive content, including but not limited to explicit imagery, violent scenes, and prohibited objects.
2. How accurate is Finetuned Yolo Id Identifier?
The accuracy depends on the quality of the input image and the specific use case. It has been fine-tuned to achieve high precision and recall in detecting harmful content.
3. Can Finetuned Yolo Id Identifier be integrated into existing systems?
Yes, the model is designed to be integration-friendly and can be incorporated into web applications, mobile apps, or backend systems for content moderation.