SUAD_Park / prompts /vegetation_detection.txt
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feat: add prompts
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Analyze the image and identify the types of vegetation present. Categorize vegetation into one or more of the following types:
- Maintained (e.g., trimmed hedges, flower beds, decorative shrubs, lawns)
- Mixed (e.g., tall grass, prairies, untrimmed shrubs, scattered trees)
- Dense and wild (e.g., forests, undergrowth, thick bushes, wetlands)
Do not use any external data sources.
If no vegetation is detected, return an empty list.
If the image is not clear enough to make a decision, return 'Not clear'.
If the image is not relevant to the task, return 'Irrelevant'.
Results must be consistent across multiple runs of the model on the same image.
Results must be JSON serializable.
**Output format:**
```
{
"vegetation": [ "Maintained", "Mixed" ]
}
```