

Labels Matter
Oct 27, 2021
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Introduction
00:00 • 2min
What Is a Solutions Architect?
02:23 • 4min
How Do You Find All the Cars?
06:52 • 3min
The Connection Between Training Data and the Data Set That You're Using Long Term?
10:13 • 2min
Is There a Diskrepancy Between the Image Resolution and the Data Set?
12:39 • 3min
Continuous Learning With a Human in the Loop Process
15:32 • 3min
Is It Possible to Remove Annotations From Models?
18:52 • 3min
The Basic Concept of a Binding Box
22:05 • 5min
Do You Need to Add Attributes to Your Model?
26:43 • 2min
Exactly Which Annotation Should I Use for This?
28:36 • 4min
Is There a Way to Train Your Model?
32:11 • 2min
Annotation in a Production Environment?
34:10 • 6min
Do You Have Realistic Expectations for Your Data?
39:51 • 3min
Is There a Future in Utilities Management?
43:16 • 3min
Autonymus Vehicles - Is That Really Where the Action Is?
46:24 • 2min
The Mapscaping Podcast - Part 2
48:09 • 2min