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Life & fun · January 21, 2025

UY

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.

Alternativestop 8% of January 2025

In plain words

This project uses YOLO object detection to analyze 40 million hotel photos and identify those containing office chairs, creating a map of hotels suitable for remote work. The analysis was performed on a home Mac using traditional computer vision technology without machine learning models. The resulting map helps remote workers find accommodations with appropriate workspace setups.

written from the facts on this page · September 2026

Does the same job

all alternatives →
  • YOLO2017 · ▲175

    Real-time object detection

  • RT
  • CA
    Clearcam – Add AI object detection to your IP CCTV cameras2025 · github.com · ▲233

    This runs YOLOv8 + bytetrack with Tinygrad detections (depending on user config) are saved and can be sent to the companion iOS app along with a notification, all video processing is done locally, all footage is encrypted before leaving your computer, and the sending notifications + videos part is optional. This uses tinygrad, so it runs well on my apple silicon macs and should be able to run on a lot of hardware (or will be able to when I remove other deps).

  • RL
    Recognize license plates using fine-tuned yolov8, OCR and IP camera2023 · github.com · ▲56

    Hey, just a work related project I made, which could be open sourced :D If you're looking for an example on how to use/fine-tune yolov8, I feel like taking a look at this repo and reading the README could help you get up to speed (also linked some nice refs)! This is actually a full rewrite of a proprietary project I made (and documented on my site) like a year ago, will do some finishing touches (write blog post about it, mark the old version deprecated, record a tutorial on how to set it up on an Ubuntu server, etc, etc) in the following month, but felt like sharing it now, cuz I…

  • FP
    From Photos to Positions: Prototyping VLM-Based Indoor Maps2025 · arjo129.github.io · ▲55

    Just a fun hack I did while bored over the weekend. My wife was busy shopping, it got me thinking that can VLMs solve the indoor location problem in a mall? Can I just show a VLM a map and an image and have it doa good enough job locating me? I hacked this P.O.C and it seems to work.

  • BB
    Browser-based PDF form fields detection (YOLO-based)Oct 2025 · commonforms.simplepdf.com · ▲26

    Hey HN! Last week, Joe Barrow released CommonForms [1], a set of open models for automatically detecting form fields in PDFs. He trained two models, FFDNet-S and FFDNet-L, on a dataset of 55k documents. You can read more about his approach in the arXiv paper [2]. As someone who's been searching for reliable models to auto-detect form fields (one of the last hard problems in PDF form filling), I was seriously impressed by the quality of these models. I wanted to give them the attention and distribution they deserve, so I created a fully browser-based implementation that handles both detection…

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