FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
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Training Mask Grounding DINO v1.0.0
Use this resource to train and run a TAO Mask Grounding DINO text-prompted segmentation model
New
- 302 downloads
- 108 likes
- 241 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install mask-grounding-dino-segmentation-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 sets train.pretrained_model_path for full weights, writes the YAML spec, runs training and evaluation, then points to the TensorRT deployment guide for gen_trt_engine and inference actions. You get a checked spec and run.
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_quantize.yaml: quantization spec
- references/spec_template_export.yaml: export spec
- references/skill_info.yaml: skill information
Good fit for
- You segment objects described by a text prompt
- You want to export or quantize an open-vocabulary segmentation model
Not for
Tags
- segmentation
- Grounding DINO
- TAO
- open vocabulary
About
You say
“Train Mask Grounding DINO on my segmentation dataset with text prompts, then export it.”
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 run a TAO Mask Grounding DINO text-prompted segmentation model
- 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.yaml6.4 KB
- references/spec_template_deploy_evaluate.yaml0.6 KB
- references/spec_template_deploy_gen_trt_engine.yaml0.4 KB
- references/spec_template_deploy_inference.yaml1.7 KB
- references/spec_template_evaluate.yaml3.7 KB
- references/spec_template_export.yaml3.8 KB
- references/spec_template_gen_trt_engine.yaml3.8 KB
- references/spec_template_inference.yaml3.8 KB
- references/spec_template_quantize.yaml3.5 KB
- references/spec_template_train.yaml3.5 KB
- references/tao-deploy-mask-grounding-dino.md5.8 KB
- references/tao-deploy-mask-grounding-dino.skill_info.yaml3.4 KB
- schemas/evaluate.schema.json62.1 KB
- schemas/export.schema.json61.6 KB
- schemas/gen_trt_engine.schema.json63.3 KB
- schemas/inference.schema.json63 KB
- schemas/manifest.json16.6 KB
- schemas/quantize.schema.json57.6 KB
- schemas/train.schema.json57.6 KB
- skill-card.md4.6 KB
- SKILL.md13.9 KB
- skill.oms.sig9.4 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-mask-grounding-dino
- Licence
- Apache-2.0
Notice
« tao-train-mask-grounding-dino » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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