Hello trend,
This is Satya Mallick from LearnOpenCV.com.
We just created a video explaining the process for training a custom Object Detector using the YOLOv8 model. You will learn how to train a YOLOv8 Nano model on a Pothole Dataset.
| YOLOv8 Custom Object Detection Video |
If you prefer to read
The accompanying blog post for the above video can be found here:
| YOLOv8 Custom Object Detection Article |
We have provided the link to Google Colab as well as instructions to use it on your local system. Do star us on GitHub to say thanks!
| Download Code (GitHub) |
In case you missed it, here's the complete list of posts from the YOLO series:
- YOLOv8 Object Detection, Segmentation and Classification
- YOLOv8 Custom Object Detection
- Deploy the Pothole Detection Model on HuggingFace Spaces
- YOLOv6 Object Detection - Paper Explanation and Inference
- YOLOX Object Detector and Custom Training on Drone Dataset
- YOLOR Object Detection Paper Explanation and Inference
- YOLOv7 Object Detector Training on Custom Dataset
- YOLOv7 Object Detector Paper Explanation and Inference
- YOLOv5 Custom Object Detector Training on Vehicles Dataset
- YOLOv5 Object Detection using OpenCV DNN
- YOLOv4 - Training a Custom Pothole Detector
Is there any other YOLO model that you want us to research upon?
Cheers!
Satya
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