Hello trend,
This is Satya Mallick from LearnOpenCV.com.
This week we bring you the new state-of-the-art YOLO model for Object Detection. It beats all other YOLO models in terms of accuracy. The pre-trained YOLO-NAS models detect more objects with better accuracy compared to the previous YOLO models.
But how do we train YOLO NAS on a custom dataset? This will be our goal in this article – to train different YOLO NAS models on a custom dataset of UAV High-altitude Infrared Thermal Dataset.
The dataset contains 2898 thermal images across 5 object classes:
- Person
- Car
- Bicycle
- Other Vehicle
- Dont Care
So without further ado, let's jump into the post and learn
| How to Train YOLO-NAS on a Custom Dataset |
The accompanying code for the blog post can be found here:
| Download Code |
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Cheers,
Satya
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