fcakyon
helping AI's to understand videos at @ultralytics & @viddexa
Funding Links: https://github.com/sponsors/fcakyon
- Name: fatih akyon
- Location: Ankara, Turkiye
- Company: @viddexa @ultralytics
- Kind: user
- Followers: 599
- Following: 65
- Total stars: 2445
- Repositories count: 131
- Created at: 2022-11-15T05:53:37.071Z
- Updated at: 2025-03-28T13:05:46.270Z
- Last synced at: 2025-03-28T13:05:46.270Z
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)
- Current Sponsors: 2
- Past Sponsors: 0
- Total Sponsors: 2
- Minimum Sponsorship: $1.00
Featured Works
fcakyon/content-moderation-deep-learning
Deep learning based content moderation from text, audio, video & image input modalities.
Language: - Stars: 341obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Language: Python - Stars: 4444fcakyon/yolov5-pip
Packaged version of ultralytics/yolov5 + many extra features
Language: Python - Stars: 295fcakyon/small-object-detection-benchmark
icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors
Language: Python - Stars: 172fcakyon/streamlit-image-comparison
Image comparison slider component for Streamlit
Language: Python - Stars: 241fcakyon/balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
Language: Python - Stars: 94Active Sponsors
Past Sponsors
Sponsor Breakdown
- User: 2