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Reinventing The Wheel?!!!!

In the world, there are many good image-labeling tools for object detection. -e.g. , (Yolo_mark, BBox-Label-Tool, labelImg).

But... I've reinvented one...

When I used the pre-existing programs to annotate a training set for YOLO V3, I was sooooooooooo bored...

So I thought why it is so boring??

And I found an answer.

The answer is that pre-existing programs are not sensitive.

So I decided to make a sensitive image-labeling tool for object detection.

It's the SENSITIVE image-labeling tool for object detection!

I refer to the website of Joseph Redmon who invented the YOLO.

1. Download this project

2. Download YOLOLabel_v1.2.1.zip

3. Unzip

4. Run YoloLabel.exe

2. Download YOLOLabel_v1.2.1.tar

3. Unzip and download libraries

tar -xvf YoloLabel_v1.2.1.tar
sudo apt update
sudo apt-get install -y libgl1-mesa-dev
sudo apt-get install libxcb-*
sudo apt-get install libxkb*

4. Run YoloLabel.sh

./YoloLabel.sh

2. Clone or download the source code of this repository

3. Open terminal and type command in the downloaded directory.

yourMacOS:Yolo_Label you$ qmake
yourMacOS:Yolo_Label you$ make

4. Run YoloLabel.app/Contents/MacOS/YoloLabel in terminal or double click YoloLabel.app to run

yourMacOS:Yolo_Label you$ ./YoloLabel.app/MacOS/YoloLabel

1. Put your .jpg, .png -images into a directory (In this tutorial I will use the Kangarooo and the Raccoon Images. These images are in the 'Samples' folder.)

2. Put the names of the objects, each name on a separate line and save the file( .txt, .names).

3. Run Yolo Label!

4. Click the button 'Open Files' and open the folder with the images and the file(''.names or ''.txt) with the names of the objects.

5. And... Label!... Welcome to Hell... I really hate this work in the world.

This program has adopted a different labeling method from other programs that adopt "drag and drop" method.

To minimize wrist strain when labeling, I adopted the method "twice left button click" method more convenient than

"drag and drop" method.

drag and drop

twice left button click

6. End

Key	Action
A	Save and Prev Image
D, Space	Save and Next Image
S	Next Label
W	Prev Label
O	Open Files
V	Visualize Calss Name
Ctrl + S	Save
Ctrl + C	Delete all existing bounding boxes in the image
Ctrl + D	Delete current image

Mouse	Action
Right Click	Delete Focused Bounding Box in the image
Wheel Down	Save and Next Image
Wheel Up	Save and Prev Image

It was replaced by the shortcut Ctrl + D.

You can access all image by moving horizontal slider bar. But when you control horizontal slider bar, the last processed image will not be saved automatically. So if you want not to lose your work, you should save before moving the horizontal slider bar.

I've reinvented the wheel.

Upload binary file for easy usage for windows and ubuntu

deployment for ubuntu

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