Identify image anomalies by generating heatmaps and scores
Detect adversarial examples using neighborhood relations
Detect anomalies in Excel data
Implement using models like Isolation Forest/Local Outlier.
Detect anomalies in credit card transaction data
Detect anomalies in images
Monitor and analyze ADAS sensor data
Monitor network traffic and detect anomalies
Use Prophet para detecção de anomalias e consulte com Chatbot
Classify images as normal or anomaly
Identify and visualize anomalies in Excel data
Detect anomalies in images
Localizing Anomalies is an AI-powered tool designed for anomaly detection in images. It helps users identify irregular patterns or defects by generating heatmaps and providing anomaly scores. This tool is particularly useful for applications such as quality control, medical imaging analysis, and object detection.
• Heatmap Generation: Creates detailed heatmaps to highlight anomalous regions in images.
• Anomaly Scoring: Provides numerical scores to quantify the severity of anomalies.
• Integration Ready: Can be seamlessly integrated with existing workflows and systems.
• Customizable Thresholds: Allows users to set custom thresholds for anomaly detection.
• High Accuracy: Leveraging advanced AI models for reliable detection of anomalies.
1. What types of images does Localizing Anomalies support?
Localizing Anomalies supports common image formats such as JPEG, PNG, and TIFF.
2. How do I interpret the heatmap?
The heatmap highlights anomalous regions in red or yellow, with darker shades indicating higher anomaly scores.
3. Can I adjust the sensitivity of anomaly detection?
Yes, users can customize thresholds to fine-tune anomaly detection based on specific needs.