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fcakyon

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building @safevideo, ai advisor @ultralytics

Funding Links: https://github.com/sponsors/fcakyon

GitHub Sponsors Profile

Maintaining my open-source packages takes a huge amount of time.
More sponsors = More motivation 🚀
🧐 about me

Passionate about Machine Learning/Deep Learning, Computer Vision
Ph.D. cand. in Informatics (multi-modal video understanding), BSc and Msc. in Engineering (deep learning/computer vision)
Loving research (📈 200+ citations) and open source (📈 2 million+ downloads)

🔥 some of my opensource works:
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

Deep learning based content moderation from text, audio, video & image input modalities:

https://github.com/fcakyon/content-moderation-deep-learning

Easiest way of fine-tuning HuggingFace video classification models:

https://github.com/fcakyon/video-transformers

Easy-to-use, class-balanced, cross-entropy and focal loss implementation for Pytorch:

https://github.com/fcakyon/balanced-loss

A simple Streamlit Component to compare images with a slider in Streamlit apps:

https://github.com/fcakyon/streamlit-image-comparison

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

📜 some of my published/submitted papers:

Deep Architectures for Content Moderation and Movie Content Rating
(Preprint)

Sequence Models for Drone vs Bird Classification
(Preprint)

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
(Accepted at 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
(Accepted at SCI Journal, 2022)

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

Featured Works

fcakyon/content-moderation-deep-learning

Deep learning based content moderation from text, audio, video & image input modalities.

Language: - Stars: 314
obss/sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Language: Python - Stars: 4131
fcakyon/yolov5-pip

Packaged version of ultralytics/yolov5 + many extra features

Language: Python - Stars: 291
fcakyon/small-object-detection-benchmark

icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

Language: Python - Stars: 163
fcakyon/streamlit-image-comparison

Image comparison slider component for Streamlit

Language: Python - Stars: 229
fcakyon/balanced-loss

Easy to use class balanced cross entropy and focal loss implementation for Pytorch

Language: Python - Stars: 90

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