BanglaLekha-Isolated: A Comprehensive Bangla Handwritten Character Dataset
원문 초록
Bangla handwriting recognition is becoming a very important issue nowadays. It is potentially a very important task specially for Bangla speaking population of Bangladesh and West Bengal. By keeping that in our mind we are introducing a comprehensive Bangla handwritten character dataset named BanglaLekha-Isolated. This dataset contains Bangla handwritten numerals, basic characters and compound characters. This dataset was collected from multiple geographical location within Bangladesh and includes sample collected from a variety of aged groups. This dataset can also be used for other classification problems i.e: gender, age, district. This is the largest dataset on Bangla handwritten characters yet.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident Narratives
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents
Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices
Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization
토론
이 논문과 연결된 포럼 글이 아직 없습니다.