1,082 datasets found

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used the rotated MNIST, CIFAR-10, and PatchCamelyon datasets.

The Learning to predict 3D surfaces of sculptures from single and multiple views dataset is a dataset for predicting 3D shapes of sculptures from a single or multiple images.

The Through the Looking Glass dataset is a dataset for predicting 3D shapes of transparent shapes from a single image.

The TransProteus dataset is a synthetic dataset for predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers.

A benchmark suite for 3D vision tasks.

Novel View Synthesis (NVS) for street scenes in autonomous driving scenarios.

Convolutional Neural Networks (CNNs) have achieved great success due to the powerful feature learning ability of convolution layers. Specifically, the standard convolution...

The dataset used in this paper is MobileNetV1 and MobileNetV2, which are commonly used vision backbones for custom ML hardware.

The dataset used for training and testing the proposed NICER approach for aesthetic image enhancement.

Low-light image enhancement has gained increasing importance with the rapid development of visual creation and editing. However, most existing enhancement algorithms are...

The dataset consists of 60,000 images of objects in 200 categories, with 300 images per category.

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 MIT-Adobe FiveK dataset, a large-scale dataset for image segmentation and object detection.

A fast, scalable, and reliable deghosting method for extreme exposure fusion.

An objective deghosting quality metric for HDR images.

Deep high dynamic range imaging of dynamic scenes.

Frame high dynamic range photography.

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

Skin Cancer detection and classification using CNN

The NAO robot database published in [1] which includes images taken in various game situations and under different illumination conditions.