{"slug":"nvidia-tao-train-metric-learning-recognition","source_name":"nvidia/tao-train-metric-learning-recognition","name":"Nvidia/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\".","version":1,"lift":{"pass_rate_delta_pts":68.18,"pass_rate_pct":90.9,"total_cases":22,"passed_cases":20,"tokens_delta_pct":72,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T23:34:06.093154+00:00"},"skill_score":0.9091,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":68.18,"with_pass_pct":90.9,"without_pass_pct":22.7,"tokens_delta_pct":72,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":19,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-12T23:34:06.093154+00:00","run_id":"cb4af27e-3ca7-472a-b792-5f963ab22fcb","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"Apache-2.0","install_count":0,"manifest_hash":"e95007cff1ba243cddd4d723651468cde53f2c3ef28051ef8fa57b11ee87326d","raw_url":"https://app.decimal.ai/s/nvidia-tao-train-metric-learning-recognition/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/nvidia-tao-train-metric-learning-recognition"}