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Tecnologia de Reconhecimento de Imagem

  • A procurement tool for bulk rapid orders and combining orders from the same supplier.
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    What is 1688采购工具(批量急速下单&同供应商订单合并下单)?
    1688 Procurement Tool is ideal for businesses looking to optimize their procurement process. It supports bulk rapid orders, allowing users to place hundreds or even thousands of orders efficiently. Additionally, it combines orders from the same supplier to save on shipping costs. With features like intelligent order selection, lowest price auto-selection, and SKU supplier comparison, it guarantees optimized purchasing and significant cost savings. The tool uses advanced image recognition technology to find similar products across different suppliers, ensuring the best deals.
  • AI-powered analysis tool for UI elements and comic pages.
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    What is Omniparsr?
    OmniParser is a sophisticated AI-powered analysis tool designed to intelligently analyze, detect, and extract structured data from various visual content sources such as webpages, UI screenshots, and comic book pages. It offers capabilities in UI element detection, comic panel analysis, speech bubble detection, and character recognition. This powerful engine is ideal for digital comic processing, localization workflows, and UI automation, delivering high detection accuracy and efficiency improvements for users.
  • Shnap is a visual search tool that helps you find items instantly.
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    What is Shnap - Visual Search for Fashion?
    Shnap is a cutting-edge visual search tool designed for fashion enthusiasts and online shoppers. By leveraging advanced image recognition technology, users can snap a photo of any clothing item and instantly retrieve vast options from online retailers. This smart application transforms the shopping experience, enabling users to discover styles, patterns, and colors they may be searching for, all in real-time. With its user-friendly interface, Shnap brings the convenience of visual search right to your mobile device, whether you're in stores or browsing at home.
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