Wire defect Image Classification Dataset

50 labeled images

Premium dataset

50+ labeled wire defect images ready for AI and computer vision research. Delivered as an ImageFolder-style ZIP with train / val / test splits and class-labeled folders. Review the source license before use. Compatible with PyTorch, TensorFlow, Keras, and any classification pipeline.

Download dataset · 50 images Support the project

Need a production-grade version?

Our B2B team can deliver a licensed, commercial-ready version of this dataset — with custom labels, QA, and annotation formats.

Talk to our team

Browse a selection of samples from the Wire defect image dataset.

Categories in this dataset

Melted wire Cracked insulation Overheated wire Tangled cables Exposed copper Frayed wire Cut wire Loose wire Burnt wire end Corroded connection

Data sources

Wiredefect

What you get

Wire defect classification dataset, ready to train

Clean folder layout

`train` / `val` / `test` sub-folders per class plus a `meta.json` with label list, split counts, and ImageNet normalization constants — ready for `torchvision.datasets.ImageFolder`.

Your choices, your ZIP

Pick output size, color mode, train/val/test split, and 20 augmentations. The ZIP is built for your exact setup.

Research-friendly

BibTeX citation per dataset and a Colab starter notebook. No signup required to download.

Framework-agnostic

PyTorch, TensorFlow, Ultralytics — pick any. Standard ImageFolder layout works out of the box.