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.
Install
npx skills add NVIDIA/skills --skill tao-train-metric-learning-recognitionnpx skills add NVIDIA/skills --skill tao-train-metric-learning-recognition -a claude-code -gnpx skills add NVIDIA/skills --skill tao-train-metric-learning-recognition -a codex -ggemini skills install https://github.com/NVIDIA/skills.git --path skills/tao-train-metric-learning-recognitiongh skill install NVIDIA/skills tao-train-metric-learning-recognitiongit clone --depth 1 https://github.com/NVIDIA/skills /tmp/NVIDIA__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NVIDIA__skills/skills/tao-train-metric-learning-recognition ~/.claude/skills/tao-train-metric-learning-recognition # Claude Code
cp -R /tmp/NVIDIA__skills/skills/tao-train-metric-learning-recognition ~/.agents/skills/tao-train-metric-learning-recognition # Codex, Cursor, Gemini CLI, Copilot, OpenCode