83 datasets found

KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240.

Established the first large-scale anonymized portrait matting benchmark P3M-10k, containing 10,000 high-resolution face-blurred portrait images along with high-quality alpha...

Class-Agnostic Counting (CAC) dataset, includes 6,135 images across 147 categories, divided into 3,659 training, 1,286 validation, and 1,190 test images.

A dataset of more than 7 million images with controlled changes in pose, position, background, lighting color, and size.

This dataset is used for photo style transfer.

A reference model for depth estimation, used for evaluating the performance of the LDM3D model.

A dataset of images used for training and testing the DPT-Large depth estimation model.

Synthetic rainy images dataset for training and testing the proposed LPNet for single image deraining.

The dataset for single image deraining, containing images with rain and their corresponding ground truth images.

The dataset used in this paper is a binary convolution dataset, where the inputs are binary images and the outputs are the results of the convolution operation.

The dataset used for training and testing the proposed super-resolution model.

The dataset used in the paper is a Sintel dataset, which consists of low-resolution optical flow maps and their corresponding high-resolution RGB images.

PASCAL VOC 2007 dataset is a widely used dataset for object detection and semantic segmentation. We use all the split sets (training, validation, testing) in the VOC2007 dataset...

The dataset used for testing the self-similarity-based super-resolution model for photoacoustic angiography.

The dataset used for testing the self-similarity-based super-resolution model for photoacoustic angiography.

The dataset used for training the self-similarity-based super-resolution model for photoacoustic angiography.

Texture classification is an important and challenging problem in many image processing applications.

A real-world dataset for motion-blurred hand extraction task.

A synthetic dataset for motion-blurred hand extraction task.

Implicit neural representation, which expresses an image as a continuous function rather than a discrete grid form, is widely used for image processing. The dataset used in this...