What were the biggest advances in computer vision in 2021? | Roboflow + OpenCV webinar

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Roboflow CEO Joseph Nelson joins OpenCV CEO Satya Mallick to discuss the biggest advances in computer vision in 2021 as well as make predictions for dramatic changes in 2022.
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Chapters (Powered by ChapterMe) -
00:00 - Introduction
02:09 - Computer Vision & AI Predictions for 2022
02:34 - About: Your hosts
03:32 - About OpenCV: A Standard in Processing Imagery
06:33 - Roboflow: The Building Blocks
08:14 - Build Better Computer Vision Models Faster
09:27 - 2021 in Review: Transformers Coming to Computer Vision
18:58 - 2021 in Review: The Rise of Multimodal Models + Zero Shot Vision
27:24 - 2021 in Review: Advances in Generative Models
31:31 - 2021 in Review: Chip Shortage!
34:42 - Computer Vision Predictions - Satya
55:07 - Computer Vision Predictions - Joseph
01:04:21 - Q&A
01:04:39 - De-noising Signal Processing
01:05:26 - Will the move to multimodal widen between large corporations and smaller startups?
01:08:05 - Gaps between companies growing
01:09:16 - The gap between the two will get bigger
01:09:56 - Are you familiar with any applications that combine voice recognition and computer vision?
01:12:24 - Outro

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With the latest updates my M1 Max is on par with my 3090 tensorflow rig. The huge advantage is that I can run multiple trainings at once and I just wait for all them to finish rather than having to run them one at a time.

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Did the orb say anything about little fluffy cloud computing?

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