Best Practices

Maximize the effectiveness of Mineflow for your exploration projects.

Overview

To get the most out of Mineflow's AI-powered mineral exploration platform, consider the following best practices. These recommendations will help improve the accuracy of your predictions and maximize the value of your exploration data.

Data Quality and Quantity

Provide More Data
Quantity improves prediction accuracy

Generally, the more data you upload, the easier it is for the model to learn to predict your deposit. Include all available datasets, even those that might seem tangentially related.

Ensure Data Accuracy
Quality matters as much as quantity

The more accurate your data is, the easier it is for the model to learn to predict your deposit. Missing data and improperly labeled rocks can lead to longer training times and less reliable results.

Provide Context
Include environmental features

Include data about the surrounding environment and terrain. Features like waterways, elevation changes, and vegetation patterns can provide valuable context to the AI model.

Organize by Project
Maintain logical groupings

Keep data for different exploration sites in separate projects. This helps the model understand the geological context specific to each location.