Every model I build has to answer 1 simple question | Airbnb Machine Learning Project Part 5

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. Since machine learning is a very experimental process, meaning you try something, see if it works and if not you try something else. I plan on building a number of different models to see which one works best. To track the results of each different model, I set up Weights & Biases, a tool for tracking deep learning experiments. Now I've got it working with Detectron2, it's time to scale up the small working model with more data. All videos in this series: Full playlist - https://dbourke.link/airbnbplaylist Part 1 (overview) - https://youtu.be/C_lIenSJb3c Part 2 (data exploration) - https://youtu.be/hTHXVfryZDo Part 3 (data manipulation) - https://youtu.be/cijajMJ3m3w Part 4 (building a small dog model) - https://youtu.be/ooB-ZU9iLmI Part 5 (experiment tracking) - https://youtu.be/83s-OEFMgVY Part 6 (modelling experimentation) - https://youtu.be/eiA3EEeGAZc Part 7 (building a big dog model) - https://youtu.be/5X6A1i5wbFU Part 8 (getting my modelling deployed) - https://youtu.be/smlQbh6jQvg Part 9 (project wrap up and retrospective) - https://youtu.be/aBkUE5OJ8u8 Note: I am not affiliated with Airbnb nor are they involved with this series of videos in any way. Links: My machine learning course - https://dbourke.link/mlcourse All of my notes/ideas in Notion - https://dbourke.link/airbnb42days Airbnb Amenity Detection article - https://link.medium.com/05qPErz3a4 Weights & Biases (tool for tracking deep learning experiments) - https://www.wandb.com/ Weights & Biases tutorials - https://www.wandb.com/tutorials Get email updates on my work - https://dbourke.link/newsletter Support on Patreon - https://bit.ly/mrdbourkepatreon Connect elsewhere: Web - https://dbourke.link/web Quora - https://dbourke.link/qu