Fabrics Defect Dataset: Difference between revisions
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This is an image dataset and can be used for testing or training for AI models. | This is an image dataset and can be used for testing or training for AI models. | ||
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=== Maturity=== | === Maturity=== | ||
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Ongoing development: currently there are around 350 images where annotation has started based on findings from production. New images are added at a monthly basis. | Ongoing development: currently there are around 350 images where annotation has started based on findings from production. New images are added at a monthly basis. | ||
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=== Licence=== | === Licence=== | ||
Revision as of 12:15, 2 September 2024
An image dataset of fabric defects, that can be used for testing or training for AI models.
Asset Description
A set of fabric defects images that include, but are no limited to knots, thick/thin yarn, running shade variation, color yarn, holes, uneven dye, uneven print, crease marks, fabric skew, fabric browning, stain/spot/dirt, broken yarn, stop mark and more.
Dataset and Model Details
Dataset Overview
Images of fabric cutouts that contain defects that were found during a regular work day taken with a DSLR camera at a 12MPx resolution (4000 x 3000 px). The set includes top and bottom parts of the fabric and non-defective parts of the fabric. The resolution is around 10px/mm.
Usage
This is an image dataset and can be used for testing or training for AI models.
Maturity
Ongoing development: currently there are around 350 images where annotation has started based on findings from production. New images are added at a monthly basis.
Licence
Proprietary
Resources
- For further information, please contact eduard.modreanu@katty-fashion.ro with CC to project.management@katty-fashion.ro
Acknowledgement
The dataset was created in the framework of the EITM Teaching Factories project. In the AI REDGIO 5.0 project it will be used in the Industrial Pilot VII: Quality Assurance of clothing production at Katty Fashion