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OpenAI Codex User Seeks Efficient Image Validation Methods

A user on Reddit is seeking more efficient methods for image processing, specifically for validating book covers from a bookshelf photograph against a directory of cover images. The user reported success using OpenAI's Codex model (version 5.5) to identify 6 missing books, but found the process to be inefficient. They are looking for ideas on how to automate this task, potentially using tools like n8n, or for alternative image processing techniques. AI

RANK_REASON This is a user-generated question about using a specific tool for a niche task, not a product release or significant industry event.

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COVERAGE [1]

  1. r/OpenAI TIER_2 English(EN) · /u/Whole-Ad2077 ·

    Efficient Image validation (IST vs Plan)

    <!-- SC_OFF --><div class="md"><p>Background: Inventory check of a bookshelf via picture</p> <p>I have a picture of a bookshelf showing covers. Small overlaps but sufficient - the IST</p> <p>I have a directory with 30 book cover images - the PLAN</p> <p>I provided the picture to …