Generating datasets for semantic segmentation can be time-intensive. Learn how to use Blender’s Python API to create diverse and realistic synthetic data with automated labels, saving time and improving model performance. Preview the topics to be discussed in this Medium post.
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Speaker
Vincent Vandenbussche
3
talks
Machine Learning Engineer
Vincent Vandenbussche has a PhD in Physics, is an author, and Machine Learning Engineer with 10 years of experience in software engineering and machine learning.
Bio from: Jan 30 - AI, Machine Learning and Computer Vision Meetup
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Generating datasets for semantic segmentation can be time-intensive. Learn how to use Blender's Python API to create diverse and realistic synthetic data with automated labels, saving time and improving model performance. Preview the topics to be discussed in this Medium post.
Generating datasets for semantic segmentation can be time-intensive. Learn how to use Blender's Python API to create diverse and realistic synthetic data with automated labels, saving time and improving model performance. Preview the topics to be discussed in this Medium post.