Did you do anything to retrain the model, or just use it out of the box?
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Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
51–60 of 129 posts
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#52Earlier quoted context omitted.
I usually stand at the ironing board (they're typically height adjustable). Keyboard goes on board, laptop goes on trashcan which is on board (just to get the screen higher). I usually bring some paracord so I can tie the whole contraption to something heavy so it doesn't wobble. Sometimes I'll use the cord to hang a second travel monitor from some nearby art--still working on a proper harness for it. It's fun. I occ…
lol, sounds janky but fun. Would like to see a picture. I'm surprised ironing boards are so readily available.
Not really, businessmen/women usually need their stuff ironed.
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#53What I'm most curious about is how does one get 40 million hotel photos? Is this offered through some Booking.com API etc.?
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#54Nice idea! What did you use for your hotel dataset source? I've been wanting to work on travel based app idea with hotel integration, but seems like most providers (like booking.com) lock down their data.
You can sign up as an affiliate with both Booking and Expedia to get API access to their data. It's meant for people who are going to run their own hotel booking sites with Booking/Expedia content, so it's not quite as trivial as a random free signup, but it shouldn't be too hard to do for a real business. OP's site appears to be affiliated with Lexyl, which owns some other hotel booking sites, so I assume they already have this access.
That said, I would consider scraping, even with API access. In some ways the API access is both limited and binds you to their terms of service, and depending on the legalities in your jurisdiction, scraping could be more effective.
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#55Without at least some technical details and insights from process of doing so this is just ad for your website. And it does not even work in country with 146 million people, but author is from "democratic" european country so not surprising.
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#56You posted this in 2023 too. Thought it sounded familiar!
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#57What I'm most curious about is how does one get 40 million hotel photos? Is this offered through some Booking.com API etc.?
I was also wondering this. The hardest part about this would be scraping 40m photos.
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#58I have no programming expertise but I'm looking for ideas that use YOLO to detect stuff like this. I was thinking of a way of automatically tagging and collecting data from my daily commute dashcam/GoPro footage - number of EVs, demographics of traffic, etc. I want this to be a project that teaches me the ropes but since I need instant gratification, I'd like if the result also offered value to others. The one thing…
Have a look into Sam, groundingdino, groundedsam
https://github.com/IDEA-Research/Grounded-Segment-Anything
You can use that to take images and generate annotated segmented images/masks that you can then train a YOLO model on. I've done this for prototypes before and it's a very quick way of getting started as you can hand off the really annoying annotation work to a machine.
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#59Earlier quoted context omitted.
lol, sounds janky but fun. Would like to see a picture. I'm surprised ironing boards are so readily available.
Not really, businessmen/women usually need their stuff ironed.
And they are ironing their stuff on their own in their hotel room? Isn’t there a service for that?
Re: Show HN: Using YOLO to Detect Office Chairs in 40M Hotel Photos
#60Earlier quoted context omitted.
Once I specifically booked an airbnb because they promoted their 17" LCD with hdmi, usb-c and dvi inputs. I'm like, why don't more offer this?
I think the answer is the first word in your sentence. How many times have you stayed at a hotel? Now how many times have you stayed at a hotel because they promoted a good work space? Both cost about the same to run, and one has a much greater need.
Plus people that do like to spend much of the year travelling around doing deep work are (i) relatively likely to book short stay apartments instead of hotels and (ii) relatively unlikely to be particularly fussy about working environments since they're actively choosing travel over convenience and optimal working environments