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Products that do what Using YOLO to Detect Office Chairs in 40M Hotel Photos does
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.
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2024 · github.com
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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).
2025 · github.com
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Hey HN! A few years ago someone kept trying to steal my motorcycle, so I decided to make a small camera with really long battery life to catch them. The hardware/software is totally open source, but the companion app only supports macOS currently. (I'm a big fan of native apps, and didn't want to block releasing on Linux/Windows support.) I wrote some blog posts about the process: PCB design: https://toaster.llc/blog/pcb Enclosure design: https://toaster.llc/blog/enclosure Image pipeline:…
2024 · toaster.llc
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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…
2023 · github.com
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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.
2025 · arjo129.github.io
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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…
Oct 2025 · commonforms.simplepdf.com
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I built a browser-based tool for detecting objects in satellite imagery using vision-language models (VLMs). You draw a polygon on the map and enter a text prompt such as "swimming pools", "oil tanks", or "buses". The system scans the selected area tile-by-tile and returns detections projected back onto the map as GeoJSON. Pipeline: select area and zoom level, split the region into mercantile tiles, run each tile with the prompt through a VLM, convert predicted bounding boxes to geographic coordinates (WGS84), and render the results back on the map. It works reasonably well for distinct…
Mar 2026 · useful-ai-tools.com
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2021 · handtracking.io
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I was developing/selling this application under Roadometry, but sales are getting slow and I'd prefer to make it available for free. This is a desktop Windows application which can be used for counting road traffic. https://roadometry.com https://www.youtube.com/@roadometry2011 The application uses Multiple Hypothesis Tracking (MHT) combined with Darknet Yolo. I trained the network myself. I have a tool-chain for building a video-based training set including associations, but it's quite complex to use. I never ended up training a network to perform association,…
2024 · github.com
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2013 · dextrorobotics.com
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2018 · github.com
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2021 · strayrobots.io
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I built an MCP server that gives any local LLM real Google search and now vision capabilities - no API keys needed. The latest feature: google_lens_detect uses OpenCV to find objects in an image, crops each one, and sends them to Google Lens for identification. GPT-OSS-120B, a text-only model with zero vision support, correctly identified an NVIDIA DGX Spark and a SanDisk USB drive from a desk photo. Also includes Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, Trends, and more. 17 tools total. Two commands: pip install…
Feb 2026
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Jun 2026 · github.com
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2018 · modeldepot.github.io
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2025 · organizer.flipfocus.nl
- 24AM
2025 · yc.foundersaround.com
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