20 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...

The dataset used for the Prophesee GEN4 roadscene object detection task, containing recordings of road scenes with a 1 megapixel event camera.

The dataset used for the AIS2024 eye tracking challenge, containing recordings of eye movements with a 1 megapixel event camera.

The dataset used for the DVS128 hand gesture recognition task, containing recordings of 10 hand gesture classes performed by different subjects, recorded with a 128x128 dynamic...

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

The GoPro dataset is used for training, which contains 2103 pairs of blurred clear control images. The validation set used for training is 460 pairs of randomly divided images....

Event-based visual place recognition with ensembles of temporal windows.

A high-resolution DVS dataset for lane extraction.

End-to-end event camera driving dataset: Fusing frames and events with deep learning for improved steering prediction.

End-to-end Davis driving dataset.

A new dataset that contains demanding illumination conditions and provides a rich set of sensory data for autonomous driving.

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-based camera data used for learning event-based visuomotor policies

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