Categories/Computer Vision/Image Classification
Image Classification Datasets

Image classification is a computer vision task that categorizes images into one of several classes. This is an important task in computer vision that is used in many applications, such as self-driving cars, facial recognition, and object recognition.

Displaying Page 2 of 3 (22 total Repositories)
Flowers
Public
Updated: 6 months ago

An image classification dataset containing 3670 images of flowers across 5 classes: daisy, dandelion, roses, sunflowers, tulips. The images are of nonstandard sizes and aspect ratios, ranging from 500 x 442 px to 143 x 240 px.

STL10
Public
Updated: 4 months ago

CelebA
Public
Updated: 1 year ago

CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations.

cifar100
Public
Updated: 1 month ago

Updated: 3 weeks ago

CIFAR-10
Public
Updated: 10 months ago

Updated: 10 months ago

Updated: 5 months ago

37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.

Updated: 3 weeks ago