Sport Image Classification Dataset
55.1K labeled images
Free download
55.1K+ labeled sport 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 Sport image dataset.
Categories in this dataset
Jai alaiYogaFigure skating womenFormula racingRacketRugbyRugby ballWheelchair basketballHockey puckTennisPuckBalance beamCanoe slamonRingsBaseball batJavelinCroquetBoomerangBaseballPole vaultInline skateSpeed skatingNascar racingBowlingAmpute footballHorse jumpingBilliardsBull ridingSkateboardVolleyballSurfingTennis ballDiving boardSnorkelHockeySailboat racingBasketballTug of warSumo wrestlingFencingRacingBobsledFootball helmetFigure skating pairsArm wrestlingCroquet ballRollerblade racingSnow boardingIce climbingWeightliftingGolfScoreboardRowingRollerskatesSoccer ballSki jumpingCurlingPool tableGiant slalomTable tennisBoxingCricketHorse racingRock climbingScuba diverRacerPunching bagLacrosseFootballHarness racingBallplayerWheelchair racingParachuteGolf clubTennis racquetKnee padDumbbellAir hockeyWhistleBarbellSki maskPommel horseHockey stickHigh jumpSkydivingBarell racingLugeSkiSnowmobile racingJudoOlympic wrestlingField hockeyBarometerHammer throwFrisbeeShot putGo kartFigure skating menHurdlesWater polo
Tags
Sport labeled image dataset
Sport photos
Sport pictures
Sport images
Sport dataset
Sport image dataset
Data sources
What you get
Sport 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.