VRIFY Technology Inc.

Guides and resources for VRIFY's exploration intelligence suite, including DORA and Data Augmentation

VRIFY Predict

DORA

Learn what to expect after onboarding and how to create your first Prediction Map with DORA.

Getting Started With VRIFY Predict

A short demo video highlighting VRIFY's DORA.

DORA: 3 Minute Demo Video

Learn about the key differences between DORA 1.0 and DORA 2.0

What's New in DORA 2.0

Learn how existing DORA 1.0 experiments behave after the release of DORA 2.0, including how to access, edit, and duplicate older experiments.

Working With DORA 1.0 Experiments After the DORA 2.0 Release

Navigating DORA

Learn how to manage experiment visibility using My Drafts and Published Experiments in DORA.

Drafts and Published Experiments

Learn how to interpret and apply the results from a DORA Prediction Map export.

Working With Export Results Outside DORA

Getting Started With DORA

Understand the basics of Artificial Intelligence (AI).

Introduction to Artificial Intelligence (AI)

A high level introduction of how DORA works.

How does DORA work?

Definitions of DORA frequently used terms.

DORA Glossary of Terms

Understand what overfitting and underfitting means for an AI model.

What is Overfitting and Underfitting?

Understanding Data Fusion Models and their impact on DORA.

What is a Deposit Type Model?

An overview of the deposit types and target commodities that DORA’s deep learning are trained to identify.

DORA's Deposit Type Models

How DORA works, key concepts, and glossary

Understanding DORA

Learn how to run an experiment and create a Prediction Map in DORA.

Create a Prediction Map

Learn how to set your Area of Interest when creating an experiment in DORA.

Step 1: Select Area of Interest (AOI)

Learn how to define mineralized and unmineralized examples using data-driven threshold recommendations to train your DORA experiment.

Step 2: Set Up Learning Points

Learn how to choose the deposit model that aligns with your target mineral system.

Step 3: Select Deposit Type

Learn how to choose the raster layers that will be used to generate your Prediction Map.

Step 4: Select Input Features

Learn how to create discrete target clusters across your AOI.

Create Target Groups

Learn the steps to upload and delete your own AOI into a DORA.

Upload and Manage a New AOI

Learn how to drag and drop your own Learning Points file into the DORA interface.

Upload and Manage New Learning Points

Learn how and when to adjust Prediction Tendency and Resolution when generating a Prediction Map.

Advanced Settings: Prediction Tendency and Resolution

Learn how DORA scores and recommends rasters based on five criteria.

How DORA Scores Input Features

Learn how to apply geological judgment alongside DORA's recommendations to build an effective input feature set.

Recommended Workflow: Input Feature Selection

Learn how rasters are named and categorized in DORA.

How Input Features Are Named

Learn what causes this error, why it stops your prediction early, and how to resolve it.

Understanding the “Select Input Features Failed” Error in DORA

Building a Prediction Map

Understanding VPS outputs in DORA Prediction Maps

What Is the VRIFY Prospectivity Score (VPS)?

Learn how to work with the VPS and Target Groups.

How to Interpret The VPS on a Prediction Map

Learn how to read and interpret Feature Importance graphs from your DORA Prediction Map.

Feature Importance

Learn how to read and interpret the Prediction Accuracy, F1, and the Performance Breakdown matrix.

Prediction Accuracy and Performance Breakdown

Learn how to interpret the Depth Accuracy gauge and Real vs Predicted scatter plot to assess model performance in predicting mineralization depth.

Depth Accuracy and Real vs Predicted Scatter Plot

Behind-the-scenes overview of the processing steps that generate the DORA Prediction Map.

How DORA Generates a Prediction Map

Learn how DORA uses spatial cross-validation to train and evaluate its predictive model.

Train-Test Clusters in DORA

Learn how to add a description to your DORA Prediction Map to provide additional context to viewers.

Add a Description to a Prediction Map

Learn how to lock or duplicate a DORA experiment to prevent accidental edits or submissions.

Lock an Experiment

Learn how to cancel an active processing step in the Prediction Map workflow.

Stop Processing

Learn how to export selected Input Features from a DORA  experiment as a downloadable .zip file.

Export Input Features

Learn how to make a copy of a DORA Prediction Map.

Duplicate a Prediction Map

Learn about how to export and utilize the results from a DORA Prediction Map.

Export Prediction Map Results

Learn how to compare multiple VRIFY Prospectivity Scores (VPS) on a single Prediction Map.

Compare Experiments

Analyse, export, and compare your Prediction Map outputs

Interpreting Prediction Map Results

Information on preferred data types, formats, and applications for DORA.

DORA Data Requirements

Learn how fault and geological interpretation vectors are used in DORA.

Fault and Geological Interpretation Vectors

Learn how DEM grids and topographic surfaces are used in DORA.

DEM Grids and Topographic Surfaces

Learn how satellite imagery is used in geoscience and DORA.

Satellite Imagery (Aster and Sentinel 2)

Learn how drill core geochemistry is used in DORA.

Drill Core Geochemistry

Learn how surface geochemistry is used in DORA.

Surface Geochemistry

Learn how geological structural measurements are used in DORA.

Geological Structural Measurements

Learn how drill hole data (including lithology and assays) is used in DORA.

Drill Hole Data - Lithology and Assays

Learn how geophysics data is used in DORA.

Geophysics Data

Reference guides for geological data in mineral exploration

Understanding Exploration Data

Learn how to understand a DORA Prediction Map with View-Only access.

[DORA 1.0] Understanding a Prediction Map (View-Only Access)

[DORA 1.0] What is a Prediction Map in DORA?

Learn how to interpret one of DORA’s core outputs on a Prediction Map.

[DORA 1.0] What is a VRIFY Prospectivity Score (VPS)?

[DORA 1.0] Prediction Accuracy and Performance Breakdown

[DORA 1.0] Depth Accuracy and Real vs Predicted Scatter Plot

[DORA 1.0] Feature Importance (SHAP Labels)

Learn about pixels presets for an Area of Interest.

[DORA 1.0] AOI Pixels Guide

[DORA 1.0]  Export Prediction Map Results

Learn how to export selected Input Features from a DORA experiment as a downloadable .zip file.

[DORA 1.0] Export Input Features

[DORA 1.0] Compare Experiments

[DORA 1.0] Lock an Experiment

Learn how to create a shareable link for view-only access to your DORA experiment.

[DORA 1.0]  Create a View-Only Share Link for a Prediction Map

Learn the steps to upload your own AOI into a DORA Prediction Map.

[DORA 1.0]  Upload a New Area of Interest (AOI)

[DORA 1.0] Upload New Learning Points

Learn how to add a summary to your DORA Prediction Map to provide additional context to viewers.

[DORA 1.0] Add a Summary to a Prediction Map

Learn how to view the summary of a Prediction Map in DORA.

[DORA 1.0] Access a Prediction Map Summary

[DORA 1.0] Duplicate a Prediction Map

Learn how to access, navigate, and begin working with DORA to create your first Prediction Map.

[DORA 1.0] Introduction to the DORA Interface

Learn about Advanced Feature settings in the Build Predictive Model step of a DORA experiment.

[DORA 1.0] Advanced Features for Building Predictive Models

DORA 1.0

Expand your dataset using DORA's Data Augmentation Modules

Data Augmentation

An overview of Data Augmentation, its role in preparing data, and its main goals in generating DORA Prediction Maps and VPS Results.

Insight into how Data Augmentation outputs are validated.

How Data Augmentation is Validated

An overview of each Data Augmentation Module output.

Outputs of the Data Augmentation  Models

Overview of the Data Augmentation workflow.

How Data Augmentation Works

Data Augmentation Module Per Data Type

Getting Started With Data Augmentation

Overview of the Distance Maps Module for Data Augmentation

Distance Maps

Overview of the Data Density Maps Module for Data Augmentation

Data Density Maps

Overview of the Lineament Maps Module for Data Augmentation

Lineament Maps

Overview of the Computer Vision Maps Module for Data Augmentation.

Computer Vision Maps

Overview of the Texture Filter Maps Module for Data Augmentation.

Texture Filter Maps

Overview of the Multivariate Anomaly Maps Module for Data Augmentation

Multivariate Anomaly Maps

Overview of the Gridded Maps Module for Data Augmentation

Gridded Maps

Overview of the Structural Domains Maps Module for Data Augmentation.

Structural Domain Maps

Learn how to use the Texture Filter Maps Data Augmentation Module in this step-by-step walkthrough.

How to Create Texture Filter Maps

Learn how to use the Computer Vision Maps Data Augmentation Module in this step-by-step walkthrough.

How to Create Computer Vision Maps

Learn how to use the Data Density Maps Data Augmentation Module in this step-by-step walkthrough.

How to Create Data Density Maps

Learn how to use the Distance Maps Maps Data Augmentation Module in this step-by-step walkthrough.

How to Create Distance Maps

Module overviews and detailed walkthroughs

Data Augmentation Modules

VRIFY

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