DeepForest — Open Source Contributions
Python · PyTorch · NumPy · SciPy
Context: DeepForest is a widely-used Python package for tree crown detection using deep learning. As a contributor and GSoC 2026 participant, I improved core pipeline performance and developer tooling.
- Refactored IoU matching pipeline — replaced dense matrix allocations with sparse, index-based operations for large-scale evaluation
- Implemented vectorized coordinate validation for dataset pipeline, improving performance on large datasets
- Fixed pre-commit pipeline compatibility issues with Python 3.14
- Added configurable image normalization support for the CropModel
ADS Polygon Alignment Pipeline
Python · GeoPandas · Rasterio · PyTorch
Problem: U.S. Forest Service Aerial Detection Survey polygons are spatially offset by 50-500 meters due to GPS imprecision and flight geometry, making them unreliable as training data for detection models.
Approach: Designed a hybrid alignment pipeline combining geometric transformations with learned displacement estimation using self-supervised deep learning. Built an energy-function-based optimization for spatial registration of forest survey annotations.
- Designed a hybrid alignment pipeline combining geometric transformations with learned displacement estimation
- Built energy-function-based optimization for spatial registration of forest survey annotations
- Processing tens of thousands of historical polygons from the U.S. Forest Service
Other Projects
DeepForest vs DeepTrees — Benchmarking
Python · Jupyter · Matplotlib
- Comparative analysis of two tree crown detection libraries — architecture differences, training strategies, and prediction accuracy across multiple datasets.