Retail Shelf Facing Counter
Retail Shelf Facing Counter reviews retail shelf photos where front-facing products need a quick facing count 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 Shelf Facings
Retail Shelf Facing Counter reviews retail shelf photos where front-facing products need a quick facing count 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 straight-on shelf or aisle photo.
- Step 2
Crop to the shelf bay or product row you want to review.
- Step 3
Run local AI to mark visible facing candidates.
- Step 4
Use the count summary as a restock or merchandising checklist.
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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