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Classifies detected tree crops or tree images into public-safe labels such as broad species group, visible condition, season, leaf state, and image quality.
Determines whether tree images captured at different times likely refer to the same physical tree, supporting repeat monitoring, health tracking, and longitudin…
Detects and localizes individual trees in images so downstream systems can analyze each tree separately for species, health, age, or re-identification.
A reference scenario for generating labeled tree image variations from open or synthetic base images using deterministic and configurable image augmentation tec…
A reference scenario for generating tree image variations using image-generation or image-editing models, with metadata, cost, latency, and quality tracking.
A reference implementation for forecasting inventory demand from synthetic stock movement data, including baseline modeling, simple APIs, minimal web UI, and do…
A local-first prototype for extracting structured prescription data from scanned or handwritten prescription images using OCR, configurable open-source LLM anal…
A local-first prototype for evaluating MedGemma on prescription image or prescription text understanding, with structured extraction, run metadata, and a lightw…