Hello trend,
This is Satya Mallick from LearnOpenCV.com.
We present you an interesting tutorial on using OpenCV for building an automated Image Annotation Tool for generating bounding box annotations from images. You will learn a lot about popular image processing techniques using OpenCV like contours, color spaces, thresholding, and morphological operations.
Many real-world use cases of Object Detection work under controlled environments, for example detecting boxes / products on conveyor belts in warehouses. The background in these cases are very simple.
Why build another annotation tool?
We started with an aim to build a simple annotation tool for hobbyists which does not require creating accounts and logging into portals or pay for simple annotation tasks when you have thousands of images to annotate. So, with our knowledge of Image Processing algorithms using OpenCV, we built a simple application that works well with simple backgrounds and a single class (as of now). Building this tool was fun and satisfying!
We hope you would find it useful and learn a few things about Image Processing while going through the blog post.
While understanding how the tool works, you will learn about the following:
- Color Segmentation and when to change to a specific color space.
- Contours Detection and Filtering.
- Thresholding and Morphological Operations.
- Saving annotations in different formats like Pascal VOC, YOLO, and MS COCO.
Without further ado, let's jump into the post
Build an Image Annotation Tool using OpenCV |
Accompanying code can be found on our Github repo. Your encouragement is the driving force behind our resources/blog. Do give us a star on Github.
Download Code (GitHub) |
We are also sharing a streamlit web application for you to try out the annotation tool.
Streamlit Web Application for Annotation Tool |
Do you know of any other simple image annotation tool that we should look at for improving our own tool? Hit reply and send in your thoughts.
Cheers!
Satya
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