195,535 datasets found

A dataset of 3D vehicles in geographic context.

A dataset for road detection and lane instance segmentation in urban environments, using only un-calibrated low-cost equipment.

The dataset used for the object detection challenge in DAC-SDC 2019.

The dataset used for the low power object detection challenge in DAC-SDC 2019.

Neal’s funnel is a target density that is shaped like a funnel.

The axial modes target density is a target density that is concentrated around a hyperplane.

The hyperplane disk density is a target density that is concentrated around a hyperplane.

The multivariate standard Cauchy distribution is a multivariate generalization of the standard Cauchy distribution.

The World dataset contains 39,504 location names from the whole world along with corresponding longitude and latitude.

The dataset used in this paper is a collection of data-driven predictive control experiments.

The dataset used in the paper is CheXplain, a system that enables physicians to explore and understand data-driven, AI-enabled medical imaging analysis.

The PRETVM dataset is a collection of quasi-static schedules compiled from a subset of LF programs, supporting a top-down, model-based design flow for real-time software in...

The S900 dataset contains diffusion MRI and functional MRI data for 900 participants.

The Yelp Reviews Polarity dataset contains 560k and 38k (in training and dev portion respectively) customer reviews in English from Yelp.

The dataset used in this paper is the Gaussian dataset, a collection of Gaussian distributions.

The dataset used in this paper is the Botnet dataset, a collection of network traffic data.

The dataset used in this paper is the Postures dataset, a collection of motion capture data.

The dataset used in this paper is the Covtype dataset, a collection of forest cover type data.

The dataset used in this paper is the Celltype dataset, a collection of single-cell RNA sequencing data.

The PennML benchmark suite consists of over 90 regression problems and provides a performance overview of several common regression algorithms.