---
title: "How to grade leather hides with computer vision"
description: "A camera over the inspection table or conveyor takes a full photo of each hide under even light. A model trained on the shop own images, labeled against its own grade rules, marks likely flaws such as scars, holes, insect bites, wrinkles, stains and thin or uneven spots, and outlines them on the hide photo. It suggests a grade and shows the usable area, and the marked photo can go to the cutting room so pieces are placed around the flaws. A grader reviews the marks, checks a sample by hand each shift, and decides the final grade and what goes to which product. The model does not replace hands-on checks or customer specs, and people make every grade and cutting call."
url: https://lidvizion.ai/answers/how-to-grade-leather-hides-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a tannery or leather goods maker use computer vision to grade hides and plan cutting?

A camera over the inspection table or conveyor takes a full photo of each hide under even light. A model trained on the shop own images, labeled against its own grade rules, marks likely flaws such as scars, holes, insect bites, wrinkles, stains and thin or uneven spots, and outlines them on the hide photo. It suggests a grade and shows the usable area, and the marked photo can go to the cutting room so pieces are placed around the flaws. A grader reviews the marks, checks a sample by hand each shift, and decides the final grade and what goes to which product. The model does not replace hands-on checks or customer specs, and people make every grade and cutting call.

## What this means in practice

- Start with one table and one leather type under even lighting.
- Label photos from your own hides against your own grade rules.
- Show the marks and suggested grade to the grader first.
- Send marked photos to the cutting room to plan around flaws.
- Check a sample of graded hides by hand each shift.

## How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

## More on Automation & custom AI

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- [How can a seafood processor use computer vision to size and grade shrimp on the line?](https://lidvizion.ai/answers/how-to-grade-shrimp-with-computer-vision/)
- [How can a flower grower or packhouse use computer vision to grade stems and bunches?](https://lidvizion.ai/answers/how-to-grade-cut-flowers-with-computer-vision/)

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