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Yağmur Çiğdem Aktaş
Yağmur Çiğdem Aktaş

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Published in Towards Data Science

·Jan 30

Object Detection with Convolutional Neural Networks

Multi-Stage(RCNN, Fast RCNN, Faster RCNN) and Single Stage (SSD, YOLO) architectures for object detection and their usage to train your own Object Detection model is explained — We learned what is image classification and how to create image classification models in my previous post. Image Classification with Convolutional Neural Networks A comprehensive guide to convolution and convolutional neural networks for image classification, from implementation…towardsdatascience.com

Object Detection

13 min read

Object Detection with Convolutional Neural Networks
Object Detection with Convolutional Neural Networks

Published in Towards Data Science

·Jan 5

Fine-Tuning a CNN model for Image Classification

Underfitting — Overfitting, Vanishing — Exploding Gradient Problems and their possible solutions with experiment results and scratch codes — After learning the basics of CNN and its usage for Image Classification, you may discover that the topic is not over and we should know more advanced topics to improve a convolutional neural network model. During my research, I came across some advice mostly to overcome overfitting problem, but when…

Fine Tuning

9 min read

Fine-Tuning a CNN model for Image Classification
Fine-Tuning a CNN model for Image Classification

Published in Towards Data Science

·Jan 4

Image Classification with Convolutional Neural Networks

A comprehensive guide to convolution and convolutional neural networks for image classification, from implementation with Python and TensorFlow to optimization and transfer learning techniques — We learned Neural Network Fundamentals in my previous post Neural Networks Fundamentals A quick intro for Neural Networks, Unsupervised and Supervised Learning, the difference between Regression and…towardsdatascience.com

Image Classification

17 min read

Image Classification with Convolutional Neural Networks
Image Classification with Convolutional Neural Networks

Published in Towards Data Science

·Dec 20, 2021

Neural Networks Fundamentals

A quick intro for Neural Networks, Unsupervised and Supervised Learning, the difference between Regression and Classification and their simple modeling with neural networks, example implementation from scratch with Python — This is the first part of an end-to-end flow about Neural Networks and their usage for different tasks. The contents of the whole flow are as below: Neural Network Fundamentals

Neural Networks

17 min read

Neural Networks Fundamentals
Neural Networks Fundamentals

Oct 15, 2021

Visual Perception: Epipolar Geometry

Epipolar Geometry basics like Essential Matrix, Fundamental Matrix, Triangulation, Feature Matching are explained with their MATLAB code implementations — We learned how to use a projective camera and how to calibrate it. In this post, we will learn Epipolar Geometry, which is the intrinsic projective geometry between two views. Two views mean now we will learn how to work with more than 1 camera to perform different tasks!

Epipolar Geometry

6 min read

Visual Perception: Epipolar Geometry
Visual Perception: Epipolar Geometry

Oct 15, 2021

Visual Perception: Camera Calibration

Camera Calibration using DLT and Zhang’s Method from theoretical math explanation to MATLAB code application — We learned what Camera Calibration Matrix is in the previous post of this series. A general issue in Visual Perception is that usually, we need to calibrate our cameras before using them. …

Camera Calibration

8 min read

Visual Perception: Camera Calibration
Visual Perception: Camera Calibration

Oct 15, 2021

Visual Perception GUI

A user interface implemented with QT Creator, Opencv, and C++ to make the user able for realizing what they learned during this tutorial like Camera Calibration, Fundamental-Essential Matrix Estimation, Triangulation — The GUI consists of 3 parts as Calibration, Feature Matching, and Epipolar Geometry. Let’s examine it part by part Calibration In this part, you can calibrate your camera either using your already taken images or using your camera connected to your PC. …

Visual Perception

7 min read

Visual Perception GUI
Visual Perception GUI

Oct 15, 2021

Visual Perception: Fundamental Geometry and Camera Basics

A series about Visual Perception Fundamentals like Camera Calibration, Epipolar Geometry, and their mathematical implementations from scratch — Visual perception is the human ability to interpret the surrounding environment. [1] In this series, we will learn the Visual Perception fundamentals for robotics without using any Artificial Visual Perception method but using classical approaches step by step.

Visual Perception

6 min read

Visual Perception: Fundamental Geometry and Camera Basics
Visual Perception: Fundamental Geometry and Camera Basics

Published in Nerd For Tech

·Sep 13, 2021

Neighborhood, Connections, and Connected Components

A brief explanation of these 3 terms that form the basis of relation— similarity analysis for different subjects like Region Growing, an algorithm used in Image Segmentation — Neighborhood The neighborhood of a pixel is simply the pixels that touch it. We examine neighborhood in 3 categories: 4- Neighborhood Here, we talk about the pixels touching in 4 directions top, right, bottom, and left. d- Neighborhood

Neighbourhood

4 min read

Neighborhood, Connections, and Connected Components
Neighborhood, Connections, and Connected Components

Published in Towards Data Science

·Sep 12, 2021

Image Segmentation with Classical Computer Vision-Based Approaches

Classical Computer Vision-Based Image Segmentation methods like Thresholding, Region-Based, Edge Detection Based and Morphological Segmentation are explained in 1 post to make a quick start with this domain — Image segmentation is the process of subdivision a digital image into multiple segments (objects). The goal of segmentation is to change the representation of an image into something more meaningful and easier to analyze. We can assemble different segmentation methods as shown below.

Image Segmentation

12 min read

Image Segmentation with Classical Computer Vision-Based Approaches
Image Segmentation with Classical Computer Vision-Based Approaches
Yağmur Çiğdem Aktaş

Yağmur Çiğdem Aktaş

www.linkedin.com/in/yağmur-cigdem-aktas aktas.yagmur@gmail.com https://github.com/YCAyca You can reach all the codes used in my posts from this github link!

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