Image Classifier
The Image Classifier is an AI-based computer vision tool that can analyze and categorize images into predefined classes. Businesses can use it for quality inspection, security, and visual recognition tasks. For instance, it can distinguish between fresh and spoiled fruits or identify defects in a product line.
Custom dataset training
High-accuracy image categorization
Real-time processing
Dashboard for analytics
Uses Convolutional Neural Networks (CNNs) to extract visual features and classify images into labels based on training data.
Applicable in agriculture (quality check), manufacturing (defect detection), and retail (inventory classification).
Automates visual inspections, reduces human errors, and increases operational efficiency.
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Key Features:
Custom dataset training
High-accuracy image categorization
Real-time processing
Dashboard for analytics
Working Method:
Uses Convolutional Neural Networks (CNNs) to extract visual features and classify images into labels based on training data.
Use Case:
Applicable in agriculture (quality check), manufacturing (defect detection), and retail (inventory classification).
Conclusion:
Automates visual inspections, reduces human errors, and increases operational efficiency.