Hello trend,
This is Satya Mallick from LearnOpenCV.com.
Hundreds of aquatic species are being negatively impacted by the increased under-water trash deposits. This is a real problem and many organizations are trying to create awareness around this issue as well as fix to the best possible extent.
We recently ran an under-water trash detection training experiment which aims to detect trash in the depths of the ocean floor. We used YOLOv6 for training an Object Detection model and performed a huge number of experiments and have discussed them in today's article.
The highlights of today's post are:
- The under-water trash dataset and how we prepared a 4 class version out of it with the classes - Animal, Plant, Trash, and ROV.
- How to train a custom model using YOLOv6.
- How to train YOLOv6 Nano, Small and Large models and describe what are the pros and cons of each.
- Finally, we compare the results of YOLOv6 with YOLOv5 and YOLOv7 as well.
Without further ado, let's jump into the post
Under Water Trash Detection using YOLOv6 |
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Download Code (GitHub) |
Cheers!
Satya
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