Assamese Handwritten Digits

This dataset comes up as a benchmark dataset for machines to automatically recognizing the handwritten assamese digists (numerals) by extracting useful features by analyzing the structure. The Assamese language comprises of a total of 10 digits from 0 to 9. We have collected a total of 516 handwritten digits from 52 native assamese people irrespective of their age (12-86 years), gender, educational background etc. The digits are captured in .jpeg format using a paint mobile application developed by us which automatically saves the images in the internal storage of the mobile. The images are of variable size and are further modified as per requirment. It contains a total of 516 images, among them 387 images (75%) are taken in the training set and 129 images (25%) in the testing set. The Convolutional Neural Networks are extensively used for the purpose of classification as it can learn millions of internals features automatically and perform classification.

本数据集作为机器自动识别手写阿萨姆语数字（数字）的基准数据集，通过分析结构提取有用特征来实现。阿萨姆语包含从0到9的10个数字。我们收集了来自52位阿萨姆族本土人士（年龄在12至86岁之间，无论性别、教育背景等）共计516个手写数字。这些数字使用我们开发的绘画移动应用程序以.jpeg格式捕捉，该应用程序可自动将图像保存至手机内部存储。图像尺寸不一，并根据需求进行进一步修改。数据集包含总计516张图像，其中387张图像（占总数的75%）用于训练集，129张图像（占总数的25%）用于测试集。卷积神经网络因其能够自动学习数百万内部特征并执行分类，在分类任务中得到了广泛的应用。