Learning OCR for Game Text Recognition: From Data Preparation to CRNN Model Training

This article documents the author’s step‑by‑step journey of building an OCR system for recognizing Chinese characters in a card‑game UI, covering game selection, technical background, data generation, deep‑learning model training with CRNN, real‑image data collection, optimization attempts, and final performance evaluation.

CRNNDeep LearningEasyOCR

0 likes · 15 min read

Learning OCR for Game Text Recognition: From Data Preparation to CRNN Model Training

Yiche Technology

Jan 4, 2022 · Artificial Intelligence

Yiche OCR System: Architecture, Data Expansion, Multi‑Branch Optimization, and Server Migration

The Yiche OCR system combines a DBNet‑based text detector and a CRNN recognizer, enhances performance on natural‑scene texts through data expansion, multi‑branch dictionaries, distribution‑aware weighting, and accelerates training via IPEX and parallel processing on CPU servers.

CRNNDBNetOCR

0 likes · 11 min read

Yiche OCR System: Architecture, Data Expansion, Multi‑Branch Optimization, and Server Migration

Cyber Elephant Tech Team

Oct 14, 2021 · Artificial Intelligence

Mastering OCR: From Traditional Techniques to Deep Learning Solutions

This article provides a comprehensive overview of Optical Character Recognition, covering its traditional applications, the evolution to deep learning methods, key datasets, popular tools, and practical strategies for tackling diverse OCR challenges in real-world scenarios.

CRNNComputer VisionDatasets

0 likes · 18 min read

Mastering OCR: From Traditional Techniques to Deep Learning Solutions

58 Tech

Aug 10, 2021 · Artificial Intelligence

Active Learning and Model Enhancements for Semantic Tag Mining in 58.com Voice Data

This article presents a comprehensive study on extracting semantic tags from 58.com voice data, detailing the use of active learning to address cold‑start problems, comparing keyword matching, XGBoost, TextCNN, CRNN, and an improved Wide&Deep model, and demonstrating significant reductions in labeling effort and superior F1 scores across multiple experiments.

CRNNactive learningmodel comparison

0 likes · 15 min read

Active Learning and Model Enhancements for Semantic Tag Mining in 58.com Voice Data