Mara Animal Detector
Inference pipeline to detect Animals in Mara Images
This page describes how one can run the BisQue Module MaraAnimalDetection
Run Instructions
This module takes in an image or a dataset of images. It generates bounding box predictions indicating the location of several animal classes in the image.
Navigate to Module Page
Login >> Analyze >> Maasai Mara (in Groups Column) >> MaraAnimalDetection
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.
Run Inference
Hit Run after providing required inputs.
You should be able to see the status messages at the bottom of the page.
Expected Outputs
Annotations will be added to the images/dataset as G-Objects
Navigate to the images present in the dataset to visualize the predicted G-Object
Output Interpretation
In this section, we describe how to visualize/update the predictions generated by running the model.
Once the module execution is complete, 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
DownloadClick on
Graphical Annotations as XML
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