Object Detection in Images using (Pre-trained Models) YOLO in R
Published January 29, 2021
At a glance
Views
4,574
Likes
60
Comments
10
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
In this R Tutorial, We'll learn how to use Pre-trained Model weights from YOLO to do Object Detection in Images (Image Detection) with generating Output predicted image with Bounding boxes. Image Package - https://github.com/bnosac/image Explainer with Code - https://heartbeat.fritz.ai/object-detection-in-just-3-lines…
- Published
- January 29, 2021
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Object Detection in Images using (Pre-trained Models) YOLO in R is doing
It has 4.57K views in total. It ranks #14,494,817 among tracked YouTube videos by views.
Key facts about Object Detection in Images using (Pre-trained Models) YOLO in R
- Total views
- 4.57K
- Total likes
- 60
- Total comments
- 10
- Published
- January 29, 2021
- Global rank by views
- #14,494,817
Frequently asked questions
How many views does Object Detection in Images using (Pre-trained Models) YOLO in R have?
Object Detection in Images using (Pre-trained Models) YOLO in R has 4,574 views, 60 likes and 10 comments, ranking #14,494,817 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
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?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.