Apparel Image Classification Dataset
70.8K labeled images
Free download
70.8K+ labeled apparel 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.
Browse a selection of samples from the Apparel image dataset.
Categories in this dataset
Black pantsWoolBrown pantsWhite shoesSombreroJacketFur coatSunglassBlue dressSunglassesWhite dressRed pantsLab coatWhite pantsMilitary uniformBuckleBrassiereHandkerchiefBeltMiniskirtT shirtBlack shortsBlue shortsLoaferBowtieGownWhite shortsBlue shirtWindsor tieJerseyMittenSandalSuitBrown shoesApronBolo tieUnderwearFeather boaBathing capClogBlack shoesBonnetSwimming trunksTrench coatPurseShower capCowboy hatSweatshirtCowboy bootStoleHoopskirtAbayaBow tieBlack shirtAcademic gownBlack dressBlue pantsSweaterSarongGreen shirtBlue shoesRed dressRunning shoeGreen shoesPajamaFlip flopsSockKimonoGreen pantsBrown shortsEyeglassesPonchoGreen shortsOverskirtRed shoes
Tags
Apparel labeled image dataset
Apparel photos
Apparel pictures
Apparel images
Apparel dataset
Apparel image dataset
Data sources
What you get
Apparel 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.
Ready to train?
Configure the split and augmentations, then grab the ZIP.