I read an article the other which described how Airbnb uses computer vision and machine learning to automatically detect amenities (household objects) in their listings. I loved it so much I decided to replicate it in my own version as a machine learning project. Over the next six weeks (42 days), I'll be replicating/improving their pipeline and documenting it as I go. This video describes the project overview. As I get further along, there will be more going through each step of the process.
Video 1 (overview) -
Note: I am not affiliated with Airbnb nor are they involved with this series of videos in any way.
Timestamps:
0:15 - Article which inspired this project
1:00 - Whiteboard planning
1:43 - Model we're going to use
2:01 - Workspace explanation (Google's Deep Learning VM)
3:35 - Project criteria
4:37 - Dataset we're going to be using (Open Images)
7:32 - How a machine learning project starts
8:58 - Exploring Open Images
10:22 - Script we're using for downloading images
11:27 - First data roadblock
13:45 - Wrap up and next steps
Links:
My machine learning course -
All of my notes/ideas in Notion -
Airbnb Amenity Detection article -
Script for downloading Open Images -
Get email updates on my work -
Support on Patreon -
Connect elsewhere:
Web -
Quora -
Medium -
Twitter -
LinkedIn -
#machinelearning #datascience
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