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Image Modeling
Classification
Classifying Image data by Specific Class
Categorize one Image into single Class
Typically used to analyze Images containing single ObjectDetails
- Define the Classes Users want to Categorize
- Prepare the Image Users want to Learn and Start Learning after Labeling
- Use some of the Data as Validation Data if necessary
- Use Evaluation Data to determine which Classes are Classified for Models that have been Trained
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Example
Classification of Dogs and Cats
- After Learning by Labeling the Images of Dogs and Cats according to the Class, offer the Images to the Learned Model to determine the Result
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Segmentation
Segmenting areas by Classifying parts of an Image that correspond to a Specific Class
Classify Image data by Pixel and Specific Class
Typically used to include Multiple Objects within a Single Image or to analyze the Location and Shape InformationDetails
- Define the Classes Users want to Parcel out
- Prepare the Image Users want to Learn, Label the Mask, and start Learning
- Use some of the Data as Validation Data if necessary
- Divide Images by Class using Evaluation data on Models that have been Trained
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Example
Fault Zone Detection
- After Learning by Labeling the Defective part of the Image, by giving the Image to detect the Defective part of the Image in Pixels
Field Experts of
Deep Learning Algorithm Development, Machine Vision, Inspection Machine Production
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