73 - Image Segmentation using U-Net - Part1 (What is U-net?)
Published December 3, 2019
At a glance
Views
448,195
Likes
5,728
Comments
203
Performance vs. channel
All-time outlier score
Engagement rate
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About
Many deep learning architectures have been proposed to solve various image processing challenges. SOme of the well known architectures include LeNet, ALexNet, VGG, and Inception. U-net is a relatively new architecture proposed by Ronneberger et al. for semantic image segmentation. This video explains the U-Net architec…
- Published
- December 3, 2019
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How 73 - Image Segmentation using U-Net - Part1 (What is U-net?) is doing
It has 448K views in total. It ranks #7,728,430 among tracked YouTube videos by views.
Key facts about 73 - Image Segmentation using U-Net - Part1 (What is U-net?)
- Total views
- 448K
- Total likes
- 5.72K
- Total comments
- 203
- Published
- December 3, 2019
- Global rank by views
- #7,728,430
Frequently asked questions
How many views does 73 - Image Segmentation using U-Net - Part1 (What is U-net?) have?
73 - Image Segmentation using U-Net - Part1 (What is U-net?) has 448,195 views, 5,728 likes and 203 comments, ranking #7,728,430 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
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What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
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