Places Image Classification Dataset
74.2K labeled images
Free download
74.2K+ labeled places 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 Places image dataset.
Categories in this dataset
SwingChurch insideSuspension bridgeDeliWaitingroomTv studioLivingroomTrainstationLaboratorywetBedroomLocker roomHospitalroomPatioHousePedestalAirport insideConcert hallViaductLighthouseMuseumPrisoncellGaragePyramidStageWarehouseDentalofficeGrocery storeCastleJailPoolinsideBridgeMosqueMeeting roomChildren roomToystoreRestaurantOperating roomPrisonLumbermillHairsalonMallBathroomBoathouseArtstudioBookshopHospitalBeaconFastfood restaurantPoolThe eiffel towerMobile homeMazeSkyscraperDomeCarouselGameroomButcher shopFloristGreenhouseThe great wall of chinaBarnBarClassroomAltarConfectioneryBookstoreRoller coasterGrocerystoreWaterslidePalaceStudiomusicAuditoriumComputerroomClothingstoreBakeryCasinoLibraryInside subwayPagodaChurchBarbershopKindergardenYurtCinemaShoe shopMovietheaterToyshopLobbyShoeshopJewelleryshopLaundromatRestaurant kitchenEntertainment centerSubwayGymStupaMinaretVideostoreDining roomTobacco shop
Tags
Places labeled image dataset
Places photos
Places pictures
Places images
Places dataset
Places image dataset
Data sources
What you get
Places 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.