ComfyUI  >  Nodes  >  KJNodes for ComfyUI >  Bbox Visualize

ComfyUI Node: Bbox Visualize

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kijai (Account age: 2192 days)
KJNodes for ComfyUI
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How to Install KJNodes for ComfyUI

Install this extension via the ComfyUI Manager by searching for  KJNodes for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter KJNodes for ComfyUI in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Bbox Visualize Description

Visualize bounding boxes on images for object detection tasks, aiding in AI model understanding and debugging.

Bbox Visualize:

The BboxVisualize node is designed to help you visualize bounding boxes on images. This can be particularly useful for tasks such as object detection, where you need to see the areas of interest highlighted on the images. The node takes a list of bounding boxes and corresponding images, and draws the bounding boxes on the images with a specified line width. This visual representation can aid in better understanding and debugging of your AI models by providing a clear and immediate visual feedback of the detected or annotated regions.

Bbox Visualize Input Parameters:


This parameter expects a list of images on which the bounding boxes will be drawn. Each image should correspond to a bounding box in the bboxes parameter. The images are processed to draw the bounding boxes and then returned with the visualized bounding boxes.


This parameter expects a list of bounding boxes, where each bounding box is defined by four values: x_min, y_min, width, and height. These values specify the top-left corner and the dimensions of the bounding box. The bounding boxes should match the images provided in the images parameter.


This parameter specifies the width of the lines used to draw the bounding boxes. It accepts an integer value with a default of 1, a minimum of 1, and a maximum of 10. Adjusting the line width can help in making the bounding boxes more or less prominent on the images.

Bbox Visualize Output Parameters:


The output is a list of images with the bounding boxes drawn on them. Each image will have the corresponding bounding box visualized with the specified line width, making it easy to see the areas of interest directly on the images.

Bbox Visualize Usage Tips:

  • Ensure that the number of images matches the number of bounding boxes to avoid mismatches.
  • Use a thicker line width if the bounding boxes are not clearly visible on the images.
  • This node can be particularly useful for debugging object detection models by providing a visual confirmation of the detected objects.

Bbox Visualize Common Errors and Solutions:

Mismatched number of images and bounding boxes

  • Explanation: The number of images provided does not match the number of bounding boxes.
  • Solution: Ensure that each image has a corresponding bounding box by providing equal numbers of images and bounding boxes.

Invalid bounding box coordinates

  • Explanation: The bounding box coordinates are out of the image bounds or incorrectly formatted.
  • Solution: Verify that the bounding box coordinates are within the dimensions of the images and correctly formatted as x_min, y_min, width, and height.

Line width out of range

  • Explanation: The specified line width is outside the allowed range of 1 to 10.
  • Solution: Adjust the line width to be within the range of 1 to 10.

Bbox Visualize Related Nodes

Go back to the extension to check out more related nodes.
KJNodes for ComfyUI

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