User Guide

The User Guide covers the core deepforest package usage and functionalities.

Guides

• Reading in Data
• Writing Data
• Prebuilt models
• Prediction
• The CropModel
• Extending the deepforest module
• Extending DeepForest with Custom Models and Dataloaders
• Can be passed directly to main.deepforest(existing_train_dataloader) or reassign to existing deepforest object
• Multi-species models
• Scaling DeepForest using PyTorch Lightning
• Visualization
• Config
• How do I make the predictions better?
• Check patch size
• IoU threshold
• Annotate local training data
• Training
• Evaluation
• Calculating Evaluation Metrics
• Annotation
• Please Make Your Annotations Open-Source!
• How Can I Get New Airborne Data?
• Working with deepforest data
• Make geospatial predictions on the full tile
• Tutorial for training a nest detection model
• DeepForest - ESA Stats Seminar - January 2025
• Download data
• Make initial predictions and view
• How many annotations do we need?
• The future of DeepForest
• Tutorial loading Deepforest
• Software & Research Using DeepForest
• Using DeepForest from R