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A leading e-commerce platform requires large-scale image classification and annotation to train its internal AI models. The client wanted 200,000 retail product images to be classified according to the product description on their website and needed bounding box annotation for the product in focus, ensuring precise identification and categorization for their model.
FutureBeeAI was selected to handle the classification and annotation tasks. Using our in-house image classification and annotation tool, we successfully classified and annotated the entire dataset, meeting the client's expectations for accuracy, efficiency, and quality. The project was completed within a tight timeline of 5 weeks, ensuring timely delivery without compromising quality.
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