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Anomaly Detection
AnomalyGPT

AnomalyGPT

Compare images to detect anomalies

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What is AnomalyGPT ?

AnomalyGPT is an AI-powered tool designed for anomaly detection in images. It enables users to compare images to identify irregularities or abnormalities, making it useful for quality control, medical imaging, and other applications where detecting deviations is critical.

Features

• Automatic Anomaly Detection: Identify irregular patterns or defects in images.
• Image Comparison: Compare images to baseline samples for consistency.
• Customizable Sensitivity: Adjust detection parameters to suit specific use cases.
• Support for Multiple Formats: Process various image formats seamlessly.
• Detailed Reporting: Generate reports highlighting detected anomalies.

How to use AnomalyGPT ?

  1. Install the Tool: Download and install AnomalyGPT on your system.
  2. Set Up Baseline Images: Load reference images for comparison.
  3. Upload Images for Analysis: Input images to be tested for anomalies.
  4. Run the Analysis: Execute the detection process to identify irregularities.
  5. Review Results: Examine highlighted anomalies in the output.
  6. Adjust Settings if Needed: Customize sensitivity or re-run analysis for precision.
  7. Export Results: Save or share the findings as required.

Frequently Asked Questions

What types of anomalies can AnomalyGPT detect?
AnomalyGPT can detect a wide range of irregularities, including defects, unusual patterns, or deviations from the baseline image. Its effectiveness depends on the quality of the input and the context of the use case.

Which image formats does AnomalyGPT support?
AnomalyGPT supports common formats such as JPEG, PNG, BMP, and TIFF. For specific or proprietary formats, check the documentation or contact support.

How do I adjust the sensitivity of anomaly detection?
Adjustments can typically be made via the settings menu. Lower sensitivity reduces false positives but may miss subtle anomalies, while higher sensitivity increases detection accuracy but could lead to more false alarms.

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