Author
Görkem Polat
Görkem is a Machine Learning Engineer at Encord. He holds a PhD from the Middle East Technical University, focused on solving computer vision problems in gastroenterology. He also holds a Master's Degree in Electronics Engineering, during which he worked on the classification of lung nodules in CT images using convolutional neural networks. He got top rankings in several computer vision competitions and has publications on medical image processing, such as Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy and Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

All blogs by Görkem Polat

Grounding-DINO + Segment Anything Model (SAM) vs Mask-RCNN: A comparison

Exploring the TACO Dataset [Data Analysis]

How to Improve Datasets for Computer Vision
6 m

Exploring the TACO Dataset [Model Training]
5 m

5 Ways to Reduce Bias in Computer Vision Datasets
7 m

10 Most Exciting Applications of Computer Vision in 2024
5 m

What is Robotic Process Automation (RPA)?
8 m

Zero-Shot Learning (ZSL) Explained
8 m

Model Drift: Best Practices to Improve ML Model Performance
10 m