improve intro
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@ -16,7 +16,7 @@ Each category comprises a set of defect-free training images and a test set of i
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In this bachelor thesis only two categories are used. The categories are "Bottle" and "Cable".
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The bottle category contains of 3 different defect classes: 'broken_large', 'broken_small' and 'contamination'.
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The bottle category contains 3 different defect classes: 'broken_large', 'broken_small' and 'contamination'.
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#subpar.grid(
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figure(image("rsc/mvtec/bottle/broken_large_example.png"), caption: [
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Broken large defect
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@ -34,7 +34,7 @@ The bottle category contains of 3 different defect classes: 'broken_large', 'bro
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Whereas cable has a lot more defect classes: 'bent_wire', 'cable_swap', 'combined', 'cut_inner_insulation',
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'cut_outer_insulation', 'missing_cable', 'missing_wire', 'poke_insulation'.
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So many more defect classes are already an indication that a classification task will be more difficult for the cable category.
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So many more defect classes are already an indication that a classification task might be more difficult for the cable category.
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#subpar.grid(
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figure(image("rsc/mvtec/cable/bent_wire_example.png"), caption: [
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