Small, lightweight YOLO Labeling tool developed using .NET Core 3.1 Windows Forms. It is used to generate labels for each picture that later can be used for training the deep learning model YOLO.
In the Releases tab, there are prebuilt binaries for x86 and x64 Windows platforms contained in the Windows.zip file. The .pdb files can be ingnored.
Locate your .nammes file and select a folder with pictures (order doesn't matter).
Click on the color button next to the label whom which you want to label. After you labeled your objects click on the button Save Label. This creates a new folder called Labels where the annotations are saved. This folder is found in the same place with the program's executable.
You can click Next or Previous to go on the next or previous picture.
You can save your project by going File > Save which is saved with .ylp extension.
You can load your project by going File > Open where it restores your previous work (all drawn boxes are saved and redrawn).
- Enable Crosshair:
Tools > Crosshairs Enabled - Rectangle Border Width:
Tools > Border Width > Small|Medium|Large
More details about the implementation can be found in the Wiki page.
YOLO Labeller is GPL v3.0 licensed, as found in the LICENSE file.