Hello trend,
This is Satya Mallick from LearnOpenCV.com. Today's post is close to my heart.
I grew up in small towns in India. My family owned a Maserati. Just kidding! We had a single bicycle that my brother and I shared and fought over.
The monsoon rain left the roads littered with potholes. Sure, the potholes were a nuisance, but they were so much fun. For little kids, few things were as joyous as ruining people's clothing by riding a bicycle through a pothole next to them.
To atone for all such mischiefs I may or may not have been involved in, we are presenting a post on pothole detection.
| Pothole Detection using YOLOv4 |
You can check out the code by clicking on the button below, and star us on GitHub to say धन्यवाद! (Thank you!)
| Download Code (GitHub) |
CVAT on Product Hunt : Help Us!
Computer Vision Annotation Tool (CVAT) is the world's largest open source annotation tool with millions of downloads and is used by hundreds of thousands of users.
The super talented CVAT team is joining hands with OpenCV to supercharge the development process.
Help us celebrate the relaunch of this beloved tool by upvoting the project on Product Hunt.
https://www.producthunt.com/posts/cvat-computer-vision-annotation-tool
Not everybody can contribute open source code, but every one of us can support open source projects with little gestures like this.
Cheers!
Satya
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