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Image Annotation

Refining Recyclable Material Classification with AI-Powered Image Annotation

 

The Challenge

Our client, a progressive company in the recycling sector, aimed to advance its computer vision systems to improve the automated sorting of recyclable materials. They needed high-precision image annotation to help their AI model accurately identify a wide array of materials—including glass, plastic, paper, and metals—across complex conditions. This required both a deep understanding of the materials and an ability to adapt to intricate visual details, especially in cases where visual differences were minimal. The client was seeking a partner with the capability to achieve high-level accuracy and navigate complex visual environments. They turned to DataForce for expertise in detailed, consistent image annotation.

• • • •The Solution• • • •

To meet the client’s requirements, DataForce deployed a custom annotation solution that combined visual reference technologies and AI-enhanced tools. Using Google Lens for rapid material identification and the Segment Anything Model (SAM) for high-density image segmentation, DataForce achieved precise annotation, even in cases with overlapping materials. A rigorous quality assurance protocol was implemented, with each annotation undergoing a minimum of two reviews, plus a third for discrepancies, resulting in 95% classification consistency. DataForce also established weekly check-ins and a real-time feedback channel, allowing quick adaptation to client needs and seamless updates to guidelines. This system enabled DataForce to align the team with the client’s specifications for 85% of the project.

The Benefits

How DataForce Added Value

  • 40% Fewer Classification Errors: DataForce’s precise annotation reduced classification errors by 40%, enhancing the client’s model accuracy. 
  • 20% Increased Processing Efficiency: The optimized workflow cut annotation time per image by 20%, enabling the client to process an additional 1,000 images per week. 
  • 95% Annotation Consistency: DataForce’s multi-phase review process maintained high classification standards, ensuring quality data for model training. 

By leveraging DataForce’s tailored annotation processes and agile response to project needs, the client achieved greater model accuracy, improved sorting efficiency, and scalable recycling technology.

DataForce has a global community of over 1,000,000 members from around the globe and linguistic experts in over 250 languages. DataForce is its own platform but can also use client or third-party tools. This way, your data is always under control.

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