Training YOLO v3 for Objects Detection with Custom Data
- 4.5
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Brief Introduction
Build your own detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4Description
In this hands-on course, you'll train your own Object Detector using YOLO v3-v4 algorithm.
As for beginning, you’ll implement already trained YOLO v3-v4 on COCO dataset. You’ll detect objects on image, video and in real time by OpenCV deep learning library. Those code templates you can integrate later in your own future projects and use them for your own trained models.
After that, you’ll label own dataset as well as create custom one by extracting needed images from huge existing dataset.
Next, you’ll convert Traffic Signs dataset into YOLO format. Code templates for converting you can modify and apply for other datasets in your future work.
When datasets are ready, you’ll train and test YOLO v3-v4 Detectors in Darknet framework.
As for Bonus part, you’ll build graphical user interface for Object Detection by YOLO and by the help of PyQt. This project you can represent as your results to your supervisor or to make a presentation in front of classmates or even mention it in your resume.
Content Organization. Each Section of the course contains:
Videos
Code Practices
Code Templates
Activities
Quizzes
Downloadable Instructions
Discussion Opportunities
Requirements
- Requirements
- Basic knowledge of Objects Detection Algorithms
- Basics on how YOLO v3-v4 works
- Intermediate knowledge of Python v3
- Basic knowledge of OpenCV
- Basics on how to work with Anaconda Environments
- Basics on how to work with PyCharm IDE or any other Python IDE
- Basics on how to work with Terminal Window or Anaconda Prompt
- To have Linux Ubuntu installed is optional, but recommended
Valentyn Sichkar
4.5 Raiting
Training YOLO v3 for Objects Detection with Custom Data
- 4.5
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Build your own detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4...
YOLO v3 - Robust Deep Learning Object Detection in 1 hour
- 4.2
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The Complete Guide to Creating your own Custom AI Object Detection. Learn the Full Workflow - From Training to Inference Labeling dataset is quite tedious and cumbersome,...
