Tao Train Dino

DINO is NVIDIA's transformer-based object detector with denoising anchor boxes, wrapped for TAO workflows. You get train, eval, export, distill, quantize, and inference actions, all backed by proper dataclass schemas and AutoML support out of the box. The skill enforces a validation dataset even for training runs because DINO unconditionally builds a val dataloader, so you'll need both train and val URIs or you can reuse the same path for both. It ships with a small synthetic COCO subset for smoke testing (4 object classes), and the reference docs cover the full TensorRT deploy path. The AutoML policy defaults to on, and the skill routes through tao-run-automl unless you explicitly turn it off.

Install to Claude Code

npx -y skills add nvidia/skills --skill tao-train-dino --agent claude-code