Can opener Image Classification Dataset
1.3K labeled images
Free download
1.3K+ labeled can opener 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 Can opener image dataset.
Categories in this dataset
Tags
Can opener labeled image dataset
Can opener photos
Can opener pictures
Can opener images
Can opener dataset
Can opener image dataset
What you get
Can opener 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.