Marathon Detection

Mon, 01 Jan 0001 00:00:00 +0000

At university, we were given a project: detect players of a marathon at checkpoints with a camera from only their BIB numbers.

Online, almost nothing existed; only one found had small dataset of ~100 images.

We used a normal YOLO to detect people and easyocr to detect text written on them, we created a dataset from YouTube video (~10'000 images after some cleaning)

From this dataset we trained a new specialised YOLO in bib number detection thanks to our university AI server, combined with paddleocr to read poor quality text.

University AI Server

Mon, 01 Jan 0001 00:00:00 +0000

In my final year at university, we received some servers, but one was special: it contained an NVIDIA RTX 6000 ADA, a name that would make any gamer have a heart attack if they learned its power (and its price).

This was a special card made for huge calculations and artificial intelligence: thanks to its 40GB of VRAM, it could handle a huge model, from a simple large language model to video generation.

AI on Portfolio

Marathon Detection

University AI Server