10 datasets found

The CUHK-ICD dataset contains 950 images with manually annotated cropping areas.

The FLMS dataset contains 500 images with manually annotated cropping areas.

The AVA database contains over 250,000 images with multiple aesthetic scores from reviewers.

The ICS dataset is a collection of images.

The Extended Yale B database consists of 2414 frontal-face images of 38 subjects. Each subject has around 64 images. The images are cropped and normalized to 192 × 168 under...

A large test set of 275 images gathered from the Fairchild dataset Indoor HDR Database.

The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories.

The dataset used in the paper is the Imagenet dataset, which is a large annotated dataset of images used for image classification tasks.

A large-scale image database containing uncompressed color images.

A large database of 2 million images, which can also be downloaded and used as open source.