openamer

tao-train-metric-learning-recognition

Description: 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”. Lines: 161 | Code: 18 | Dir: tao-train-metric-learning-recognition



name: tao-train-metric-learning-recognition description: Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail …