Case Study

Semi-Automated Image Data Processing & Process Streamlining

Semi-Automated Image Data Processing & Process Streamlining

Pages 3 Pages

AIMLEAP helped a UK-based AI start-up by automating the image sourcing process with custom web crawlers and paid Google API to efficiently mine 250 million images. Their semi-automated image validation ensured over 95% quality, while an automated pipeline regularly updated the customer database. This streamlined process significantly reduced manual effort, delivering a 90% cost saving and completing the project within 60 business days. AIMLEAP’s solution enhanced operational efficiency and data quality for the client’s image data needs.

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