Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or running inference for a TAO metric-learning recognition model. Trigger phrases include "train metric learning", "ml-recog", "retrieval embeddings", "triplet loss recognition", "fine-grained matching".
we've indexed the metadata for this skill but the body is fetched on demand. click "view source" above to read the canonical SKILL.md on clawhub, or "run inline in claude" to apply it without leaving your session.
read on clawhubdon't have the plugin yet? install it then click "run inline in claude" again.