Mara Animal Annotator

Module to tag annotations to a bisque dataset

This page describes how one can run the BisQue Module named Mara Animal Annotator

Run Instructions

This module takes in an image or a dataset of images, along with a text file containing the annotations that correspond to input dataset. It tags the bounding boxes in the text file to input images as graphical objects (commonly referred to as G-Objects in BisQue).

Navigate to Module Page

Login >> Analyze >> Maasai Mara (in Groups Column) >> Mara Animal Annotator

Expected Inputs

• An image or a dataset of images

  • Click here for a sample dataset of input images

• Annotation File

  • Click here for a sample model file

• Annotation Name

  • This can be any string that can be used to name the annotations that are going to be tagged as inputs (for example, ground_truth_annos).

Expected Outputs

• Annotations added to the image as G-Objects

Once the module execution is completed, one can navigate to the input dataset to visualize the tagged annotations.