View source for Fashion Product Defects Dataset

<strong>An image dataset of fashion product defects, that can be used for testing or training for AI models. </strong> [[File:Fashion product defect combo.png|thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Fashion products with defects</div>]]

== Asset Description ==
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A set of fashion product defects images that include, but are no limited to the following common defects: uneven shrinkage, uneven betel, overlapping crucibles, reserve from the uneven trouser hem, hook and eye not conforming (crooked), broken crucible, wider seam allowance than zipper and lace overlay, surfilate deviated (fallen), deformed pockets at final ironing, uneven collar, printed pockets at the final iron, deformed slits at final ironing, Pocket corner is misaligned (crooked) ,the second crucible is missing, the hem (the bottom part) must not be visible on the face of the product, pin marks (holes), the collar has no left-right symmetry, stepped crucible (discontinued), crooked pocket reinforcement crucible.
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== Dataset Details ==
=== Dataset Overview ===
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Images of fashion products that contain defects that were found during a regular work day taken with a phone camera. Most of the defective products have examples of good products.
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== Usage ==
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This is an image dataset and can be used for testing or training for AI models.
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=== Maturity===
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Ongoing development: currently there are around 310 images where annotation has started based on findings from production. New images are added at a weekly basis.
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=== Licence===
Proprietary

== Resources ==
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<li>For further information, please contact eduard.modreanu@katty-fashion.ro with CC to project.management@katty-fashion.ro</li>
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==== Acknowledgement====
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''The dataset was created in the framework of the AI REDGIO 5.0 project. It will be used in the Industrial Pilot VII: Quality Assurance of clothing production at Katty Fashion''
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== Relevant Categories==
[[Category:Dataset]][[Category:Quality Control]][[Category:Machine Vision]]