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Commits, branches and sync with the but CLI
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Grounding DINO training for open-vocabulary detection v1.0.0
Use this resource to train and deploy a Grounding DINO model for text-guided detection with TAO
New
- 465 downloads
- 213 likes
- 189 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install grounding-dino-open-vocabulary-trainingWith 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 prepares the training and deploy specs, distinguishing full weights from backbone-only initialization. You get configuration files for detection guided by a text prompt.
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
- references/spec_template_export.yaml: export spec
- references/spec_template_evaluate.yaml: evaluation spec
- references/skill_info.yaml: container and action information
Good fit for
- You want to detect objects described in natural language without relabeling
- You have a full model to fine-tune rather than a backbone only
Not for
Tags
- grounding dino
- open vocabulary
- text
- tao
About
You say
“Prepare the export of a Grounding DINO model that detects hard hats from a text description.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to train and deploy a Grounding DINO model for text-guided detection 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/skill_info.yaml6.2 KB
- references/spec_template_deploy_evaluate.yaml0.4 KB
- references/spec_template_deploy_gen_trt_engine.yaml0.4 KB
- references/spec_template_deploy_inference.yaml0.4 KB
- references/spec_template_evaluate.yaml3.4 KB
- references/spec_template_export.yaml3.5 KB
- references/spec_template_gen_trt_engine.yaml3.6 KB
- references/spec_template_inference.yaml3.5 KB
- references/spec_template_quantize.yaml3.3 KB
- references/spec_template_train.yaml3.3 KB
- references/tao-deploy-grounding-dino.md5.5 KB
- references/tao-deploy-grounding-dino.skill_info.yaml3 KB
- schemas/evaluate.schema.json58 KB
- schemas/export.schema.json58.6 KB
- schemas/gen_trt_engine.schema.json60.4 KB
- schemas/inference.schema.json59 KB
- schemas/manifest.json16.5 KB
- schemas/quantize.schema.json54.6 KB
- schemas/train.schema.json54.6 KB
- skill-card.md4.3 KB
- SKILL.md15.4 KB
- skill.oms.sig9.4 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-grounding-dino
- Licence
- Apache-2.0
Notice
« tao-train-grounding-dino » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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