11 datasets found

A low power, fully event-based gesture recognition system.

Recognizing and comprehending human actions and gestures is a crucial perception requirement for robots to interact with humans and carry out tasks in diverse domains, including...

Maritime vessel detection and tracking dataset

The dataset used in the paper is the Pendulum dataset, which is a continuous control problem.

The dataset used in the paper is a neuromorphic dataset, specifically the DVS128 Gesture dataset, CIFAR10-DVS dataset, and N-Caltech101 dataset.

The dataset used in the paper is the EDS dataset, which contains aligned frames and events from the same viewpoint.

The dataset used in the paper is a simulation of five sequences with different motion trajectories and background textures using the event camera simulator ESIM.

The DAVIS dataset is a widely used dataset for video-related tasks, consisting of approximately 2000 frames from 26 human-centric scenarios.

The MVSEC dataset is a dataset for event-based camera data, featuring 5 sequences of a car on the street, as well as 4 short indoor sequences shot from a flying quadrotor.

The N-Caltech 101 dataset is an event-based object recognition dataset generated from the Caltech 101 object recognition dataset.

Event-camera dataset for event-based corner detection and tracking