BERTUĞ İLK (bertugilk)

bertugilk

Geek Repo

Company:ETE Deney Eğitim ve Değerlendirme Teknolojileri A.Ş.

Location:İzmir

Home Page:bertugilk@hotmail.com

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BERTUĞ İLK 's repositories

YOLOv7_Face_Detection_and_Counting

I trained the dataset containing 2745 human face photos on the GPU named Nvidia RTX3070 using YOLOv7. I got over 90% accuracy as a result of the training. Again, with a special object counting algorithm, I obtained the number of detected faces in the image.

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Quiz-App

Tkinter Gui and MySQL Database

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Pytorch-Sign-Language-Detection

I trained the MNIST sign language dataset with the CNN structure I created using Pytorch and performed sign language detection in real time.

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Bubble-Pop-Game-with-Hand-Gesture

I used computer vision and Pygame library in this project.

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Emotion_Recognition

Real-time facial emotion recognition using Python and the cnn model

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Kutuphane-Otomasyonu

C# programlama dilinde access veri tabanı kullanarak yazmış olduğum kütüphane otomasyonu.

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Pizza_Order_System

Global A.I. HUB, the project I prepared for Python Bootcamp.

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Vehicle-Detection

I developed simple vehicle detection program using open cv.

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YOLOv4-Mask-Detection

Mask recognition algorithm I developed using the yolov4 tiny model and darknet architecture.

YOLOv6_Vehicle_Detection

I trained the dataset consisting of vehicles from Roboflow using YOLOv6 on the Nvidia RTX3070 graphics card.

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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YOLOv8

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

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HandWritten-Digit-Recognition

This app is also used cnn model and mnist handwritten digits dataset.

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Snake-Game

Python,pygame kütüphanesini kullanarak yazdığım yılan oyunu.

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Snake-Game-Using-Image-Processing

In this project, color detection study with OpenCV library was used. With the detection of blue colors, the snake in the game was enabled to move.

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Super_Warrior

Python pygame kütüphanesi ve karakter animasyonları kullanarak yazdığım macera oyunu.

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Traffic-Sign-Classification

I achieved 95% accuracy using tensorflow on a dataset of traffic signs and I deployed the model I trained using Flask and turned it into an api.

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Volume-Control-with-Hand-Gesture

OpenCV and Mediapipe libraries are used in this project.

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YOLOv5_Mask_Detection

I trained a mask dataset on the roboflow website using the YOLOv5 algorithm and successfully obtained a working mask detection model.

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