[WEEK 4–5] - Brand Recognition Using Machine Learning from Google Street View Images

Theme: Predicting the Brands

Team Members : Alper Fırat Kaya, Hülya Şermin Karakaş

[ WEEK 5 — Predicting The Location Of a Photograph]

This week we have used existed architectures to make predictions with our dataset. In particular, we used AlexNet and ResNet-18. We also made predictions using fine-tuning. We will explain what we did before showing results.

[Week 2- What Does The City Say?]

We spent the last week researching the techniques for feature extraction from audio and trying to…

[Week 3-4] What Does The City Say?

First, we used soundfile library for reading our audio datas and visualized them to understand their audio files and to see how different they are from each other.Matplotlib and librosa libraries were used to draw these sound waves. Matplotlib’s spectral method…

Week 7 — Landmark Identifier

After weeks of experimenting with different neural network models and optimization algorithms we’ve decided…

[ WEEK7 — Predicting the location of a photograph ]

Week 3— Warmth of Image

Title: Weather Condition Prediction from Image

[ WEEK 1 — Predicting The Location Of a Photograph]

Introduction

[ WEEK3– Predicting the location of o photograph ]

WEEK 1- MAKE WORLD GREEN AGAIN!

Theme: Predicting air pollution level

Team Members : Derya ERSOY , Merve Gül KANTARCI, Ihsan Baran SONMEZ

About Air Pollution and Its Effects