Mushroom Localization and Detection

Spring 2023 – Present

Image acquisition, labeling, and training of state-of-the-art object detection models for automatic harvesting. This work established the foundation dataset and benchmarks for downstream robotics.

Large-scale data collection with robust labeling and QA checks.
Evaluation across multiple detector families and backbones.
Export pipelines for inference on embedded/edge devices.