fcakyon / fcakyon

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about me

• Passionate about Open-Source, Machine Learning/Deep Learning, Computer Vision
• BSc and Msc. on E&E Eng. (with deep learning/computer vision focus), PhD cand. on Informatics (with image/text/sound fusion transformers focus)

some of my opensource packages:

A lightweight vision library for performing large scale object detection/ instance segmentation:

• https://github.com/obss/sahi

Packaged version of ultralytics/yolov5 + many extra utilities:

• https://github.com/fcakyon/yolov5-pip

Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector:

• https://github.com/fcakyon/craft-text-detector

Make your own dataset for object detection and transform the format to coco json format:

• https://github.com/fcakyon/labelme2coco

Download and convert MIDV-500 annotations to COCO instance segmentation format:

• https://github.com/fcakyon/midv500

some of my published/submitted papers:

• Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection (Submitted to ICIP 2022)

• Drone-vs-Bird Detection Challenge at IEEE AVSS2021 (Published at AVSS 2021)

• Track Boosting and Synthetic Data Aided Drone Detection (Published at AVSS 2021)

• Automated question generation and question answering from Turkish texts using text-to-text transformers (Submitted to TUBITAK Journal)

• Instagram Fake and Automated Account Detection (Published at INISTA 2019)

• Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks (Published at EUSIPCO 2018)