Optimize AI Photo Comparison App

Posted 2 days ago

Worldwide

Summary

We are seeking a skilled freelancer to optimize an AI app that compares photos and identifies differences, ignoring color variations. The app should efficiently process images and provide accurate results. The ideal candidate will have experience in AI and image processing, and be able to enhance the app's performance and functionality. The AI app takes a photo and compares it to the existing photos on our website and identifies similar photos. The App should: Ignore differences in: Wood species Stain, paint, or finish color Fabric or upholstery color Hardware color Photography, lighting, background, or viewing angle Minor styling or staging differences Pay close attention to: Overall silhouette and proportions Number and placement of drawers, doors, shelves, or openings Base, leg, foot, pedestal, or trestle design Headboard, chair-back, or cabinet-door design Drawer-front and door-panel layout Top shape and edge profile Arms, stretchers, aprons, rails, and supports Major decorative or structural details Configuration and intended furniture function Classify items as a variation of the same item when the basic furniture design and structure are the same but there are minor option differences, such as hardware style, edge profile, drawer configuration, upholstery treatment, or decorative trim. Classify items as different items only when there is a meaningful structural or design difference that would justify listing them as separate products. Do not rely on color or finish when making the decision.

  • Less than 30 hrs/week
    Hourly
  • 1-3 months
    Duration
  • Expert
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
AI App Development
AI Implementation
Activity on this job
  • Proposals:50+
  • Last viewed by client:2 hours ago
  • Interviewing:
    26
  • Invites sent:
    30
  • Unanswered invites:
    4
About the client
Member since Dec 6, 2003
  • United States
    Lakewood11:39 PM
  • $1.4M total spent
    464 hires, 62 active
  • 132,295 hours

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