I am Márk Antal Csizmadia, a machine learning engineer at Sellpy. I graduated in 2022 at KTH Royal Institute of Technology in Stockholm, Sweden 
My goal is to use my knowledge of machine learning, deep learning, IoT, and cloud computing to work on solving exciting problems and to positively influence our future. While doing so, I enjoy learning new technologies and tools, and getting to know like-minded, motivated people on the way.
I built and published an annotated object detection dataset titled Object Detection: Batteries, Dice, and Toy Cars. The annotated objects in the dataset include six-sided board game dice, AAA, AA, and 9 V batteries, toy cars, spoons, highlighters, and tea candles. The dataset was built through different means that included scraping images off the Internet with the Bing Image Search API, remixing existing datasets from the public domain, extracting video frames from videos downloaded from YouTube in line with its fair-use policy, and manually taking photographs. There are in overall 1644 images in the dataset that contain 2815 objects. I shared a starter notebook for exploring the dataset on Kaggle. The dataset Usability Score is 8.8 / 10.0.
