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February 16, 2024
Pazarama uses AI for product image checks
Pazarama Visual Content Analysis Model can detect objectionable content with an accuracy rate of 96 per cent

Thanks to the project developed to automate the process within the scope of content controls of product images, which constitute a large part of the workload of business units, Pazarama has achieved a significant reduction in the detection of faulty images and workload. 

In the project, a visual classification model was developed login or sign up to read the complete news...