Electronics Image Classification Dataset
51.8K labeled images
Free download
51.8K+ labeled electronics 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 Electronics image dataset.
Categories in this dataset
Tape playerRefrigeratorElevatorLaptop computerSpeakerLoudspeakerMobile phones back sideTelevisionPay phoneLaptopSmartphoneCell phoneStopwatchDigital watchDesktop computerCellphoneMegaphoneRadioSpace heaterHard discHeadphoneModemWristwatchStereoKeyboardHand held computerHeadphonesCellular telephoneRadio telescopeCeiling fanRemote controlMicrophonePower outletDial telephoneHand blowerSpace barWeb siteVacuumElectric fanIronSewing machineCd playerWashing machineCassetteCassette playerHome theaterTelephoneComputer keyboardMobile phoneJoystickTypewriter keyboardIpodGramophone
Tags
Electronics labeled image dataset
Electronics photos
Electronics pictures
Electronics images
Electronics dataset
Electronics image dataset
Data sources
What you get
Electronics 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.