Prairie Dog Detection

Detect all the Prairie dawgs in an aerial image

This page describes how one can run the BisQue Module named Prairie Dog Detection

Run Instructions

This module takes in an image or a dataset of images. It generates bounding box predictions indicating the location of prairie dogs in the image.

Navigate to Module Page

Login >> Analyze >> PrairieDogDetection

Expected Inputs

• An image or a dataset of images

  • Click here for a sample dataset of input images

• Machine Learning Model

  • Click here for a sample model file

• Output G-Object Name

  • This can be any string that can be used to name the annotations predicted by this module execution.

Module Page Preview, after providing the inputs

Expected Outputs

• Annotations added to the image as G-Objects

Module Page Preview, once the module execution is finished

Output Interpretation

In this section, we describe how to understand the predictions generated by running the model.

Once the module execution is completed, one can navigate to the input dataset to visualize the model predictions in the form of G-Objects.

• Navigate to the dataset.

• Go to the Annotation View.

• Click on Graphical to view the annotation

Export the Predictions

• Navigate to Dataset Page

• Click on Download

• Click on Graphical Annotations as XML