Identify image anomalies by generating heatmaps and scores
MVTec website
Detect anomalies in credit card transaction data
Detect anomalies in images
Detect maritime anomalies from AIS data
Visualize anomaly detection results across different datasets
Detect network anomalies in real-time data
Detect adversarial examples using neighborhood relations
Detecting visual anomalies for novel categories!
Identify and visualize anomalies in Excel data
Configure providers to generate a Stremio manifest URL
Detect fraudulent Ethereum transactions
Classify images as normal or anomaly
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.