PokerEvent

该数据集名为PokerEvent，主要针对扑克牌中字符图案的识别，数据由DVS346事件相机记录。该数据集用于评估模型在RGB-Event格式下识别扑克牌字符图案的能力，包含了114个类别，共计24,415个样本，分为训练集（16,216个样本）和测试集（8,199个样本）。该数据集的任务是识别扑克牌字符的图案。

The dataset is named PokerEvent, which focuses on the recognition of character patterns on playing cards. The data is recorded using the DVS346 event camera. This dataset is designed to evaluate the performance of models in recognizing playing card character patterns in the RGB-Event format. It contains 114 categories with a total of 24,415 samples, which are split into a training set (16,216 samples) and a test set (8,199 samples). The core task of this dataset is to recognize the character patterns of playing cards.

搜集汇总

背景与挑战

背景概述

PokerEvent是一个大规模RGB-Event模式识别数据集，包含114个类别和27102个帧-事件对，数据通过DVS346事件相机采集，总大小为178GB。该数据集旨在促进RGB帧和事件流融合的模式识别研究发展。