ComputerVisionProject week5
Identify NSFW content in images
Object Detection For Generic Photos
Detect objects in your image
Detect objects in uploaded images
AI Generated Image & Deepfake Detector
Identify and segment objects in images using text
Human Facial Emotion detection using YOLO11 Trained Model
Detect inappropriate images
Find images using natural language queries
Detect objects in uploaded images
Detect people with masks in images and videos
it detects the multiple objects in between the image
ComputerVisionProject is an AI-powered tool designed to detect harmful or offensive content in images while also analyzing facial expressions and emotions. It is built as part of a week5 project and provides real-time image processing capabilities to help moderate and understand visual content effectively.
• Face Detection: Identify human faces within images with high accuracy.
• Emotion Analysis: Analyze facial expressions to detect emotions such as happiness, sadness, anger, or surprise.
• Harmful Content Detection: Flag potentially offensive or inappropriate content for moderation.
• Multi-Format Support: Process images in various formats, including JPG, PNG, and BMP.
• Real-Time Processing: Perform analysis quickly for immediate results.
• Integration Ready: Easily incorporate into larger applications or systems.
• Privacy-Focused: Designed to handle sensitive data responsibly.
What formats does ComputerVisionProject support?
ComputerVisionProject supports JPG, PNG, and BMP image formats for analysis.
Can I customize the harmful content detection criteria?
Yes, ComputerVisionProject allows you to define custom criteria for detecting harmful or offensive content to suit your specific needs.
How accurate is the emotion analysis?
The emotion analysis accuracy depends on the quality of the input image and the clarity of the facial expressions. Under ideal conditions, it provides highly accurate results.