Leaf Damage Spotter
Leaf Damage Spotter reviews close plant and leaf photos used for garden or greenhouse health checks in the browser, highlights candidate regions, shows a count or review summary, and exports an annotated PNG for follow-up.
Choose an image to start
Files never leave your browser — all processing happens locally
Supported formats
Supported formats
Input: image/jpeg, image/png, image/webp
Output: image/png
Local processing
Selected files are handled inside your browser session. Large images and batch work depend on browser memory and device performance.
Limits
Performance depends on image size, batch count, browser support, model loading, and device memory.
Common searches for Leaf Spots
Leaf Damage Spotter reviews close plant and leaf photos used for garden or greenhouse health checks in the browser, highlights candidate regions, shows a count or review summary, and exports an annotated PNG for follow-up.
Steps
How this tool works
- Step 1
Upload a clear leaf or plant photo.
- Step 2
Crop to the plant or leaf cluster you want to inspect.
- Step 3
Run local AI to mark spot-like damage regions.
- Step 4
Review highlighted clusters by leaf area.
- Step 5
Export the annotated PNG.
FAQ
Useful limits and answers
Is my image uploaded?
The selected image is analyzed in the browser session.
What does the output include?
The result image includes highlighted regions, a count summary, and review guidance.
Which images work best?
Clear photos with steady lighting, visible object edges, and limited overlap produce stronger detection.
Can I batch process images?
Yes. Batch mode creates one annotated PNG per selected image.
What are the limitations?
Counts are estimates from local visual signals. Review the highlighted regions before using results for inventory, safety, or compliance decisions.
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