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Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
I used the YOLO object detection library from Ultralytics to scan over 40 million hotel photos and identify images with office chairs. This helped me create a map showing hotels suitable for remote work.

Map: https://www.tripoffice.com/maps

Yolo: https://www.ultralytics.com/yolo

The whole process was done on a home Mac without the use of any LLMs. It's based on traditional object detection technology.

Interesting idea and execution! So basically you wanted to find hotels where the rooms have office chairs and a desk? Or just in any of the images, e.g., a lobby?

Side note; I love how YOLO, a deep learning based model, is now being referred to as traditional object detection. Template matching gang rise up.

In our hotel photo database, we have everything: rooms, lobbies, bathrooms, pools, exterior shots of buildings, etc.

I trained an AI to recognize ergonomic chairs, but sometimes there were errors. For example, a chair in a hotel's SPA was always identified as an ergonomic chair. That's why we manually reviewed all 50k photos to verify them.

50k manually? How long did it take you?
I don't know, I assigned this task to trusted specialists from India.