11 datasets found

The dataset used in this paper is a real-world dataset from Australia's National Electricity Market (NEM), ISO New England (ISO-NE), and New York ISO (NY-ISO) in the US.

The dataset used in the paper is a real-world electric vehicle (EV) charging dataset.

The UCY/ETH dataset contains real pedestrian trajectories at five different locations captured at 2.5 Hz.

STEREOFOG dataset is a real-world dataset of paired foggy-clear images, captured using a custom-built device, with the purpose of exploring Image-to-Image translation (I2I) in...

Anomaly detection, the technique of identifying abnormal samples using only normal samples, has attracted widespread interest in industry. Existing one-model-per-category...

Anomaly detection, the technique of identifying abnormal samples using only normal samples, has attracted widespread interest in industry. Existing one-model-per-category...

The Argoverse dataset is a large-scale dataset for autonomous driving, containing 3D point clouds, semantic segmentation masks, and instance segmentation masks.

A large-scale RGB-T dataset for RGB-T tracking

The CODA dataset is a real-world road corner case dataset for object detection in autonomous driving.

The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...