I am building a plant identification app. I have been trying to get the Gemini API to work, but I can’t seem to get it to work properly. Does anyone have any tips or strategies I can use to get the Gemini API to accurately identify the scanned plants?
Welcome to the Forum!
Achieving consistently accurate results depends on both technical setup and prompt engineering. Below are some practical strategies to help you.
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Ensure High-Quality Image Input: Use clear and focused images of the plant. Avoid blurry or cluttered backgrounds, as these can confuse the model and reduce accuracy.
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Prompt Engineering Best Practices: When sending the image to Gemini, pair it with a clear, direct prompt such as:
"Identify the plant in this image. Provide the common and scientific names, and a brief description.
- If you use few-shot learning, ensure all examples follow the same structure and format. This helps the model learn the desired response pattern
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API Usage: Use a Gemini model that supports image input (like Gemini 2.5 Pro Preview or Flash Preview 05-20). Make sure you’re using the correct API version for image processing. Parameter Tuning such as temperature and max tokens to optimize for accuracy and completeness.
Thank you!