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Detect anomalies using unsupervised learning
Détection d'anomalies avec des images is an AI-powered tool designed to identify unusual or irregular patterns within images. It leverages advanced deep learning models to analyze visual data and detect anomalies, making it a valuable solution for applications such as quality control, medical imaging, and industrial inspection.
• Anomaly Scoring: Assigns a score to each image to indicate the likelihood of an anomaly. • Heatmap Generation: Visualizes anomalies in images using heatmaps for better understanding. • Support for Multiple Formats: Works with various image formats like JPEG, PNG, and TIFF. • Customizable Models: Allows users to fine-tune detection parameters for specific use cases. • Real-Time Processing: Enables quick analysis of images for time-sensitive applications. • Integration with Object Detection: Identifies specific objects and checks for irregularities. • Export Results: Provides options to export results for further analysis or reporting.
What types of anomalies can the tool detect?
The tool can detect a wide range of anomalies, including unusual patterns, unexpected objects, or irregularities in textures. It is highly customizable to suit specific use cases.
Can I use this tool for real-time video analysis?
While the tool is primarily designed for image analysis, it can be adapted for real-time video processing by analyzing frames sequentially.
How accurate is the anomaly detection?
The accuracy depends on the quality of the input images and the model's training data. Fine-tuning the model for your specific use case can improve accuracy.