61 datasets found

The HKU-IS dataset is used for training the Cycle-IR model.

Caltech-UCSD Birds (CUB 200-2007) and extended version CUB 200-2011 image collections tagged with keypoints, bounding boxes, coarse segmentation, and attribute labels.

The Open Image Dataset (OID) is a large-scale image dataset that contains a diverse set of images.

The dataset used for training and testing the proposed Cascaded Edge and Image Learning Network (CEILNet) for single image reflection removal and image smoothing.

The dataset used in the paper is a publicly available dataset from Kaggle, used for demonstrating the effectiveness of the Lai loss function.

The Chameleon dataset contains images of chameleons.

The Duke dataset is a large-scale person re-identification dataset, containing 702 identities with 16522 images.

The Dollar Street dataset is a geographically diverse dataset with 38,479 images from 289 object categories.

A large-scale image dataset of wood surface defects for automated vision-based quality control processes.

The dataset used in the paper is a collection of images and corresponding affordances (pedestrian hazard, vehicle hazard, red traffic light, and relative heading angle) for...

The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps.

Person re-identification (re-ID) under various occlusions has been a long-standing challenge as person images with different types of occlusions often suffer from misalign-ment...

The VisDrone2019 dataset contains 10,209 high-resolution images with ten categories: pedestrian, people, bicycle, car, van, truck, tricycle, awning-tricycle, bus, and motor.

The dataset used in this paper for mushroom classification, containing images of 100 distinct species of mushrooms.

A multimodal image dataset containing radiology objects in context.

Machine learning in remote sensing has matured alongside an increase in the availability and resolution of satellite imagery, enabling advances in such tasks as land use...

CUHK-SYSU is a large-scale dataset designed for person search, which contains 18,184 scene images captured from street nap and movie screenshot.

The JAFFE dataset is a collection of images of Japanese faces, each with a specific facial expression. The dataset was created to test the psychological plausibility of a...

The dataset used in the paper for crowd counting, consisting of images with varying crowd densities.

The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.