English & Chinese Special Angle Text Dataset
Project Overview:
Objective
The primary goal of this project is to create a comprehensive dataset of English and Chinese texts, captured at various angles, for advanced machine learning applications. This dataset aims to enable robust training of models in natural language processing (NLP), optical character recognition (OCR), and machine translation, specifically designed to handle texts displayed at unconventional angles.
Scope
This project involves collecting and annotating a wide range of English and Chinese text sources, ensuring a blend of both languages and various textual orientations. It focuses on texts appearing in real-world scenarios such as signboards, product labels, and digital displays, where text orientation can vary significantly.
Sources
- Diverse Environments: We meticulously gathered data from a wide range of settings, including urban landscapes, commercial signage, and digital screens.
- Multi-Angle Captures: Special emphasis was placed on capturing text at various angles, ensuring the dataset reflects real-world text orientations.
- Linguistic Variety: The dataset includes a blend of both English and Chinese text, covering a broad spectrum of linguistic nuances.
Data Collection Metrics
- Total Text Images: 18,000
- English Text Images: 9,000
- Chinese Text Images: 9,000
Annotation Process
Stages
- Text Recognition: Each image was annotated with accurate text transcriptions, considering the special angles.
- Language Identification: We classified each image by language – English or Chinese – facilitating targeted model training.
- Angle Annotation: The angle of each text instance was measured and annotated, adding a layer of complexity to the dataset.
Annotation Metrics
- Images with Text Annotations: 18,000
- Language Categorization Completed: 18,000
- Angle Measurements Logged: 18,000
Quality Assurance
Stages
- Continuous Data Enhancement: Regular updates with new data to keep the dataset relevant and comprehensive.
- Accuracy Checks: Rigorous validation to ensure high accuracy of annotations.
- User Feedback Integration: Continuously incorporating feedback from linguistic experts and AI developers to refine the dataset.
QA Metrics
- Annotation Accuracy: 99.2%
- Diversity Score (Language & Angle): High
Conclusion
The English&Chinese Special Angle Text Dataset project plays a pivotal role in advancing NLP and OCR technologies. By providing a diverse and accurately annotated dataset, it paves the way for developing more sophisticated and versatile language processing models. This dataset not only enhances text recognition capabilities in real-world scenarios but also significantly contributes to the field of multilingual studies and applications.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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