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  "path": "/t/banana-chocolate-having-robot-issues-need-help-from-fellow-humans/1375317#post_1",
  "publishedAt": "2026-02-27T18:26:44.000Z",
  "site": "https://community.openai.com",
  "textContent": "I’m using `gpt-4.1` to identify food items from photos. My prompt instructs the model to visually identify foods in an image and return ingredient names\n\n**The issue:** When I send a photo of a white bowl containing **pieces of chocolate and blueberries** , the model consistently returns “blueberries” (correct) and “banana” (wrong — these are clearly chocolate pieces).\n\nThis isn’t random — it’s reproducible across multiple calls. The prompt emphasizes visual inference and says “Only identify food that is CLEARLY VISIBLE in the image.”\n\nA few things I’m wondering:\n\n  1. Is this a known issue with `gpt-4.1` and dark-colored foods?\n\n  2. Would a different model (`gpt-4o`, etc.) handle this better?\n\n  3. Any prompt engineering tips to reduce food identification hallucinations?\n\n  4. You get what you pay for?\n\n\n\n\nThank you for taking a look and any suggestions!",
  "title": "Banana != chocolate - having robot issues - need help from fellow humans"
}