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Dataset guide · Machine learning & corpora

Tyre defect data set

This dataset contains 1905 tyre X-ray images with defect annotations, provided by Shanghai University Network Control Centre for tyre defect detection research.

AccessFree to access
LicenceLicense statement is still being checked
ProducerShanghai University Network Control Centre

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Machine learning & corporaFree to access

Key facts

InstitutionShanghai University Network Control Centre
CoverageTyre X-ray images
Time spanSee official page
Scale1905 images (1142 train, 382 validation, 381 test), each 480x480 pixels, JPG format

Contents & fields

The dataset contains 1905 tyre X-ray images, split into training (1142), validation (382), and test (381) sets. Each image is 480x480 pixels in JPG format. Each image has a TXT annotation file recording defect location and type.

  • open—a defect type
  • cord_defects—a defect type
  • impurity—a defect type
  • belt_cuobian—a defect type

Research uses

This dataset is suitable for tyre defect detection research, especially for defects with elongated features. Due to its characteristics, it may not be suitable for other image detection tasks.

Information comes from the source page. Please check that page for current details and terms.

Keywords

tyre defectX-ray imagedefect detectiondeep learningdataset

Access and licence

Licence: License statement is still being checked | Free to access

Why this is hard to get on your own

In tyre defect detection research, there is a lack of publicly available annotated X-ray image datasets, especially for elongated defects.

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