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Train a DINO detector with TAO v1.0.0
Use this resource to train and evaluate a 2D DINO object detector with TAO
New
- 313 downloads
- 112 likes
- 204 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install dino-detector-training-taoWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent writes the training or inference spec from your data, runs the matching TAO action, then checks the evaluation or export. It also covers multi-GPU settings and common errors.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md : actions, requirements and working procedure
- references/dino-data-specs.md : data format
- references/dino-tuning-multigpu.md : tuning and multi-GPU
Good fit for
- You train a DETR-style detector on your annotated images
- You want to distil a DINO model for a lighter deployment
Not for
Tags
- dino
- object detection
- tao
- training
- detector
About
You say
“Train a DINO detector on my annotated image set and evaluate it.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to train and evaluate a 2D DINO object detector with TAO
- Review and adjust the result
Content preview
Files
- BENCHMARK.md7.1 KB
- config/skillspector-baseline.yaml0.8 KB
- evals/evals.json0.8 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/detailed-guide.md0.6 KB
- references/dino-actions-errors.md6 KB
- references/dino-data-specs.md13.9 KB
- references/dino-tuning-multigpu.md5.9 KB
- references/skill_info.yaml4.3 KB
- references/spec_template_deploy_evaluate.yaml0.6 KB
- references/spec_template_deploy_gen_trt_engine.yaml0.8 KB
- references/spec_template_deploy_inference.yaml0.6 KB
- references/spec_template_distill.yaml4.5 KB
- references/spec_template_evaluate.yaml3.3 KB
- references/spec_template_export.yaml3.4 KB
- references/spec_template_gen_trt_engine.yaml3.6 KB
- references/spec_template_inference.yaml3.4 KB
- references/spec_template_quantize.yaml3.2 KB
- references/spec_template_train.yaml3.2 KB
- references/tao-deploy-dino.md9.2 KB
- references/tao-deploy-dino.skill_info.yaml2.8 KB
- schemas/distill.schema.json52.9 KB
- schemas/evaluate.schema.json56.3 KB
- schemas/export.schema.json56.9 KB
- schemas/gen_trt_engine.schema.json61.6 KB
- schemas/inference.schema.json57.3 KB
- schemas/manifest.json19.1 KB
- schemas/quantize.schema.json53 KB
- schemas/train.schema.json52.9 KB
- skill-card.md4.3 KB
- SKILL.md11.1 KB
- skill.oms.sig10.8 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-dino
- Licence
- Apache-2.0
Notice
« tao-train-dino » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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