Brick defect Image Classification Dataset

54 labeled images

Premium dataset

54+ labeled brick 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.

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

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

Categories in this dataset

Chipped brick Moss covered brick Water stained brick Eroded brick Uneven brick wall Broken mortar Loose brick Cracked brick Burnt brick Discolored brick

Data sources

Brickdefect

What you get

Brick 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.