Hello trend,
This is Satya Mallick from LearnOpenCV.com.
This week we have a video tutorial on how to train YOLO-NAS model on your own data. We will be using the UAV High-altitude Infrared Thermal Dataset for training the YOLO-NAS Object Detection model.
The dataset contains 2898 thermal images across 5 object classes:
- Person
- Car
- Bicycle
- Other Vehicle
- Dont Care
The accompanying code for the blog post can be found here:
| Download Code |
Generative Data Augmentation
Imagine you have a picture of a street with a bus in normal weather conditions. This is one image out of a few thousand in your dataset. You have carefully completed the tedious task of annotating all the buses in your dataset. Wouldn't it be great if you could create a similar picture of a different bus in snow, or other weather conditions? Wouldn't it blow your mind if the original annotations were preserved? What if you could create an infinite number of variations of images in your dataset?
That's the power of Generative Data Augmentation, and we are sharing a new tool called KopiKat which is a no-code utility for generative data augmentation. It helps significantly improve the neural network quality on datasets with under 5,000 images - a typical case in real-life applications.
Try it for free on your images:
| Try KopiKat for FREE |
Kopikat is helpful in the following:
- Object Detection: Improving the accuracy of models such as YOLOX-Nano ensures more effective real-time object recognition. This is super useful in many products like retail traffic analysis, security systems, autonomous vehicles, and many other domains.
- Neural Network Training with Limited Data: Kopikat diversifies limited datasets and allows use in industrial applications. Small datasets are very common in real-life projects - and we hope to help build products even in these cases.
- Transfer Learning: Models trained on augmented data can be used for transfer learning to other tasks or datasets. This can significantly reduce the time and resources needed to train neural networks for new tasks from scratch.
Want to learn AI Image Generation for FREE?
Over the past 2 months, We have written the most comprehensive set of tutorials on Image Generation using Generative AI Tools that you can access and learn for free. Here's the complete list:
- Introduction to Diffusion Models for Image Generation
- Introduction to Denoising Diffusion Models (DDPM)
- Top 10 AI Tools for Image Generation
- Mastering DALLE2
- Mastering MidJourney
- Introduction to Stable Diffusion
- InstructPix2Pix Edit Images like Magic!
- ControlNet for controlling Stable Diffusion Results
- Face Recognition on AI Generated faces
Indiegogo Campaign for a course on Generative AI
We cover Generative AI Models for Images in our latest course offering. The Indiegogo campaign is coming to an end soon, so book your seat before the special pricing expires.
| Mastering AI Art Generation @ $79 |
Cheers,
Satya
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