The Ultimate Guide to Building Detection with Deep Learning in Python

[@Healsi95]

Thank you man. Please Keep uploading these segmentation videos Ill be learning a lot from you the next months

[@geodev]

Sure, I will. Glad you liked the tutorials!

[@MindScope-cm5ml]

Thank you for the tutorial!! Can you please let me know what is the source of the dataset that you are using??
Thanks.

[@turkanzengin4770]

Your videos are very educational, thank you. Can you make a video on air pollution prediction with deep learning using satellite images?

[@funwai]

i have a question about the dataset, how did you get the data? and also specifically the labels?

[@Illhardi]

It's possible to extract height information of buildings?

[@svcreations5680]

For isro hackathon?

[@Illhardi]

@@svcreations5680 no, it is for a university task

[@IAKhan-km4ph]

Very nice

[@HemanthRSGIS]

is there any limit for resolution and area of image or else we can take any resolution and any size of image

[@geodev]

There is no limitation on the resolution and the area of images. The only thing is that if your image tiles are larger (for example, 1028x2018), there is high chance of getting memory issue.

[@alpcnar5877]

is this u- net ? where you find it ?

[@geodev]

yes it is unet. This is the unet with minimal number of trainable variables.

[@Sidex150-g1p]

Not good does it predict for another buildings apart from listed one 🥱?