Synthetic Data For Real Problems

Computer vision is everywhere! But teaching an algorithm to identify objects requires a lot of data and this is definitely the case when we think about GeoAI

But it is not enough to have a lot of data we also need data that is labeled

If we are looking for cars in images we need a lot of images of cars and we need to know which pixels are the car!

Of course, I am oversimplifying but I hope you get the idea,

Now imagine that you can automatically generate a large labeled data set of realistic images of cars based on the specifications of a specific sensor.

These data sets are often referred to as synthetic data or fake data and to help us understand more about this I have invited Chris Andrews from Rendered AI on the podcast.

Here are a few previous episodes you might find interesting

Computer Vision And GeoAI

https://mapscaping.com/podcast/computer-vision-and-geoai/

In this episode, the discussion is aimed at an increased understanding of the differences between computer vision and the AI that is used in the Earth Observation world.

Labels Matter

https://mapscaping.com/podcast/labels-matter/

What it takes to create labeled training data manually. If you are new to the idea of labeled data sets this is a good place to start.

Fake Satellite Imagery

https://mapscaping.com/podcast/fake-satellite-imagery/

This is a good episode if you want to know more about Generative AI and Generative Adversarial Networks.

Also, check out this website https://thisxdoesnotexist.com/ to get an idea of where and how these Generative Adversarial Networks can be used. Look for a website called This City Does Not Exist http://thiscitydoesnotexist.com/

On a silently similar note try uploading an image to https://bard.google.com/ … it's pretty interesting!

Jaksot(254)

GeoParquet For Beginners

GeoParquet For Beginners

Cloud-native geospatial, range requests, chucks, COGs and COPCs ... [ insert confusing acronym here ]  Sometimes It feels like we need to learn a whole new vocabulary and if you have been doing #geo f...

23 Touko 202442min

Finding Stuff Indoors

Finding Stuff Indoors

Mappedin started as a school project and evolved into a leading indoor mapping company, working with malls, airports, hospitals, and Fortune 500 companies.   You guessed, today's podcast is all about ...

16 Touko 202449min

What is humanitarian GIS?

What is humanitarian GIS?

Hugo Powell, from immap.org shares his expert insights on how GIS technologies are leveraged to analyze data, visualize scenarios, and facilitate rapid decision-making during emergencies. Here are the...

1 Touko 202447min

AI Autocomplete for QGIS

AI Autocomplete for QGIS

AI Autocomplete for QGIS Brendan Ashworth the CTO and co-founder of https://buntinglabs.com/ focuses on integrating AI with QGIS, and today on the podcast we are talking about Autocomplete for vectori...

12 Huhti 202442min

GNSS receivers - why precise positioning will not be coming to your phone any time soon

GNSS receivers - why precise positioning will not be coming to your phone any time soon

GNSS receivers - why precise positioning will not be coming to your phone any time soon   Igor is the CEO and cofounder of Emlid.com a company that started out making high-precision GNSS receivers in ...

21 Maalis 202451min

The way you talk about your geospatial skills is costing you money

The way you talk about your geospatial skills is costing you money

Refactoring the Way you Talk About your geospatial skills: It is Costing you Money Some of the key topics in this episode  1.Our Geospatial Skills and Marketability: There's a realization that while o...

15 Maalis 202452min

Modern Geospatial

Modern Geospatial

Modern geospatial - not the bleeding edge of geospatial but modern geospatial - what is it? Well my guest Will Cadell, the CEO of SparkGeo describes modern geospatial as the intersection of the cloud,...

29 Helmi 202448min

Introduction To LIDAR & Point Clouds

Introduction To LIDAR & Point Clouds

The main topics discussed during this episode include: Basics of LIDAR data and its applications. Differences between LIDAR and photogrammetry. Processing chain of LIDAR data. Challenges in classifyin...

15 Helmi 202448min

Suosittua kategoriassa Tiede

rss-mita-tulisi-tietaa
tiedekulma-podcast
rss-poliisin-mieli
utelias-mieli
rss-duodecim-lehti
docemilia
mielipaivakirja
university-of-eastern-finland
vinkista-vihia
rss-vaasan-yliopiston-podcastit
rss-duokkari-ekstra
rss-metsantuntijat-podcast
rss-ilmasto-kriisissa
rss-pandapodi
rss-luontopodi-samuel-glassar-tutkii-luonnon-ihmeita
rss-sosiopodi
rss-miljonaarien-tasavalta