1,082 datasets found

The MSCOCO dataset is a large-scale object detection dataset.

The THINGS dataset is a large-scale object concept dataset.

The MNIST dataset is used for in-distribution confusing examples and notMNIST dataset is used for out-of-distribution data.

The BRACS dataset is a public dataset for whole slide image analysis, containing 1,000 whole slide images of breast cancer histopathology slides.

The CAMELYON-16 dataset is a public dataset for whole slide image analysis, containing 16,000 whole slide images of breast cancer histopathology slides.

A dataset of line drawings from 3D models, created using a generative model that approximates realistic images.

A dataset of 1140 grasp trajectories for a robotic hand interacting with a turntable.

A dataset of 132 sensor readings over 100 steps into the future for a robotic hand interacting with an unknown and uncertain external world.

A synthetic dataset for sceneries in the passenger compartment of ten different vehicles, to analyze machine learning-based approaches for their generalization capacities and...

A dataset of 36 participants with paired pressure and image data, used to train a deep model to infer hand pressure from a single RGB image.

A new dataset for omnipotent city understanding from satellite and street-level images of multiple views.

The dataset used in this paper for 3D mesh reconstruction from a single image.

The dataset used in the paper is a collection of data points from the unit sphere.

The dataset used in the paper is CIFAR-10, CIFAR-100, and TinyImageNet.

Dataset bias is a significant problem in training fair classifiers. When attributes unrelated to classification exhibit strong biases towards certain classes, classifiers...

Vision models with high overall accuracy often exhibit systematic errors on some important subsets of data, posing potential serious safety concerns. Diagnosing such bugs of...

RICH is an in-the-wild and indoor multi-view dataset for 3D human body reconstruction, containing 2D keypoints and 3D body mesh annotations.

Diff2Scene uses ScanNet, Matterport3D, ScanNet200 and Replica for open-vocabulary 3D semantic segmentation and visual grounding tasks.

The YCB-V dataset contains 21 objects with complex shapes and occlusions.

The LM-O dataset consists of 1214 images and is used as a test dataset for 6DoF object pose estimation. The dataset includes 8 objects with partial occlusion.