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Process automation saved substantial cost and increased efficiency of periodical image data processing

Client Background

  • An AI solution focussed start-up company based out of UK wanted to develop an employee management application which includes:
  • Customer wanted 250 million specious images to be mined. Customer had a list of 2.5 Million species scientific and generic names.
  • Customer was particular to collect 2.5 million species all in 10 HD (High Definition) images and sources suggested were Flickr/Instagram/Google.
  • Customer was looking for an optimized solution for image data collection and streamline the end-to-end process for the AI solution.
  • Also, start-up was looking for a cost-effective solution which can further periodically add to the AI system.

Approach To Solution

  • AIMLEAP Team automated the image sourcing process by building. A custom set of web crawlers built including paid Google API to mine image data. The crawler that was able to mine required image data with minimal manual intervention.
  • Team performed semi-automated image data validation and ensured that images are of expected quality.
  • Also, an automated process established to feed the final set of qualified images to push to customer database on a regular interval.


cost saving


quality assured

250 million images

Quick Turn Around – delivered 250 million images in 60 business days
Semi Automated Image Data Processing

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