"Student Handwritten Exam Dataset"

"\ud83e\uddd1\u200d\ud83c\udf93\u270f\ufe0f\ud83d\udcda Student Handwritten Exam Dataset\ud83e\uddd1\u200d\ud83c\udf93\u270f\ufe0f\ud83d\udcda\ud83d\udccc Dataset SummaryThis dataset contains real-world handwritten examination answer scripts collected from 21 students, scanned using mobile phone cameras. The images were manually organized into 21 class folders, corresponding to individual students.The dataset includes 5,914 images, all resized to 224\u00d7224 pixels, and contains natural variations such as rotation and flipping, making it suitable for training robust document image classification and recognition models.This dataset is intended for research and development in:\u270d\ufe0f Handwriting-Based Biometric Identification\ud83c\udfaf Writer Identification\ud83e\udd16 Image Classification\ud83d\udcca Dataset StatisticsPropertyValueTotal Students (Classes)21Total Images5,914Image Resolution224 \u00d7 224Image TypeRGBAcquisition MethodMobile Phone ScanningTask TypeImage ClassificationDataset StructureFolder-wise class labels\ud83d\udcc1 Dataset StructureEach folder corresponds to one student, and contains scanned handwritten answer script images belonging to that student. "