Türkçe İşaret Dili _Makine Öğrenimi Bitirme Projesinin “Kod, Ter ve Gözyaşı” Hikayesi.bölüm1

📰 Medium · Machine Learning

Learn how to develop a machine learning project for Turkish Sign Language image processing, understanding the challenges and opportunities in this field.

intermediate Published 19 Apr 2026

Action Steps

Research existing projects on American Sign Language (ASL) and other sign languages to understand the current state of the field.
Identify the limitations of available datasets for Turkish Sign Language (TİD) and plan for data collection or creation.
Develop a machine learning model for image processing and sign language recognition using a suitable framework and library.
Test and evaluate the performance of the model using a validation dataset.
Refine the model and improve its accuracy by addressing any challenges or limitations encountered.

Who Needs to Know This

This project is suitable for machine learning engineers, computer vision specialists, and researchers interested in sign language recognition and image processing. The team can benefit from understanding the development process and challenges of creating a machine learning model for Turkish Sign Language.

Key Insight

💡 Creating a machine learning model for Turkish Sign Language requires addressing the limitations of available datasets and developing a robust image processing and recognition system.