Back
Image Classification
Image Annotation

Retail Product Image Classification and Annotation for E-commerce

Calendar25 October 2024
MainImgBackground Custom Collection of Scripted Utterance Speech Dataset
Lines

Client's Challenge & Our Solution

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.

Outcome & Features:

ArrowProcessed and classified 200,000 retail product images based on the product description on the e-commerce website.
ArrowApplied bounding box annotations for accurate product identification and focus within each image.
ArrowDelivered the entire dataset within 5 weeks, meeting the client’s deadline and ensuring precise, organized product images ready for seamless integration into their platform.

Download Full Case Study

Get It Now

Audio Download Btn

Start your AI/ML model creation journey with FutureBeeAI!

Prompt Contact Arrow