BBox-Label-Tool

A simple tool for labeling object bounding boxes in images, implemented with Python Tkinter.

Updates:

2017.5.21 Check out the multi-class branch for a multi-class version implemented by @jxgu1016

Screenshot:

Data Organization

$ python main.py

The current tool requires that the images to be labeled reside in /Images/001, /Images/002, etc. You will need to modify the code if you want to label images elsewhere.
Input a folder number (e.g, 1, 2, 5...), and click Load. The images in the folder, along with a few example results will be loaded.
To create a new bounding box, left-click to select the first vertex. Moving the mouse to draw a rectangle, and left-click again to select the second vertex.

To cancel the bounding box while drawing, just press <Esc>.
To delete a existing bounding box, select it from the listbox, and click Delete.
To delete all existing bounding boxes in the image, simply click ClearAll.

After finishing one image, click Next to advance. Likewise, click Prev to reverse. Or, input an image id and click Go to navigate to the speficied image.

The tool now supports adding class labels to a bounding box.
Each class has been assigned a number.
Each bounding box has been assigned a label. If no label is specified, the box is allocated '0'.
To allocate a label to a box select it from the list of bounding boxes and press the button corresponding to the class you want to allocate it to (or press the corresponding number key).
Be sure to click Next (or Prev ) after finishing to save your changes.
The label number to text correspondance can be changed by editing the map on line 44 of main.py ( and changing the text on the button too!)

NOTE: The text file with the bounding boxes stores the text and not the number.