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Universal Object Counter

Universal Object Counter reviews photos with repeated countable objects such as tableware, packages, bottles, cups, bowls, people, or vehicles in the browser, highlights candidate regions, shows a count or review summary, and exports an annotated PNG for follow-up.

Browser localBatchLocal AI

Choose an image to start

Files never leave your browser — all processing happens locally

Supported formats

JPEGPNGWEBP

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 Object Count

Universal Object Counter reviews photos with repeated countable objects such as tableware, packages, bottles, cups, bowls, people, or vehicles in the browser, highlights candidate regions, shows a count or review summary, and exports an annotated PNG for follow-up.

local visionbrowser aiimage detectionobject countercount objectscount chopstickscount platescount bowlscount packageslocal yolo counter

Steps

How this tool works

  1. Step 1

    Upload a clear photo with the objects you want to count.

  2. Step 2

    Crop to the area where the repeated objects appear.

  3. Step 3

    Run local AI to detect and number object instances.

  4. Step 4

    Review merged, hidden, or overlapping objects and download 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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