N-WLASL2000

N-WLASL dataset is a synthetic event-based dataset comprising 21,093 samples across 2,000 glosses. The dataset was collected using an event camera to shoot toward an LCD monitor. The monitor plays video frames from WLASL, the largest public word-level American Sign Language dataset. We use the event camera DAVIS346 with a resolution of 346x260 to record the display. The video resolution of WLASL is 256x256 and the frame rate is 25Hz. To ensure accurate recording of the display, we have implemented three video pre-processing procedures using the python-opencv and dv packages in Python. These procedures are as follows:Add black paddings and red borders around video frames to increase their size to 346x260.Center the video frames on the monitor display after scaling them to 1428x1080 in the original aspect ratio.Display all videos sequentially at the original frame rate of 25Hz and pause the first frame of each video for 500ms to prevent event bursts brought on by swapping videos.

N-WLASL 数据集是一款基于事件的合成数据集，共包含21093个样本，覆盖2000个手语词条（gloss）。该数据集通过事件相机（event camera）朝向LCD显示器拍摄采集得到，显示器将播放源自WLASL的视频帧——WLASL是当前规模最大的公开词级美国手语数据集。我们采用分辨率为346×260的DAVIS346事件相机对显示器画面进行录制。WLASL数据集的视频分辨率为256×256，帧率为25Hz。为确保显示器画面被精准录制，我们借助Python环境下的OpenCV与dv软件包完成了三项视频预处理流程，具体如下：1. 为视频帧添加黑色填充边框与红色外框，将其尺寸统一调整为346×260；2. 将视频帧按原始宽高比缩放至1428×1080后，在显示器画面中居中显示；3. 以原始25Hz帧率按序播放全部视频，并将每个视频的首帧暂停500ms，以规避视频切换时产生的事件爆发。

搜集汇总

背景与挑战

背景概述

N-WLASL是一个合成的事件型手语识别数据集，包含21,093个样本，覆盖2,000个美国手语词汇。该数据集使用事件相机DAVIS346录制WLASL视频生成，专为事件视觉和手语识别研究设计，具有高分辨率和预处理流程。