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  1. BisQue Service
  2. Data Analysis / Modules
  3. Maasai Mara

Mara Evaluator

Module to evaluate the inference with respect to a ground truth

PreviousMara Report GeneratorNextTrain a new detector

Last updated 1 year ago

This page describes how one can run the BisQue Module named MaraEvaluation

Run Instructions

This module takes in a dataset of images along with two valid G-Object names and generates a confusion matrix that represents the similarity or dissimilarity between ground truth annotations and predicted annotations.

Navigate to Module Page

Login >> Analyze >> Maasai Mara (in Groups Column) >> MaraEvaluation

Expected Inputs

  • An image or a dataset of images

    • Click here for a sample dataset of input images

  • Ground Truth Annotations

    • String representing the name of a G-Object (Ex: ground_truth_annotations)

  • Predicted Annotations

    • String representing the name of a G-Object (Ex: annos_from_AI)

Expected Outputs

  • High level stats along with confusion matrix

    • A Table that can be exported as CSV

    • A Consfusion Matrix

Better Visualization of Confusion Matrix: