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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.