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Commits, branches and sync with the but CLI
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Adapt a DINOv3 backbone without labels v1.0.0
Use this resource to adapt a public DINOv3 backbone to your domain from unlabelled images
New
- 415 downloads
- 193 likes
- 184 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install dinov3-self-supervised-adaptationWith 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 spec, runs teacher-student self-distillation, then converts and exports the teacher checkpoint for downstream tasks. It covers high-resolution and multi-GPU settings.
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 : procedure and essential fields
- references/dinov3-recipes.md : training recipes
- references/dinov3-method.md : training method
Good fit for
- You have many unlabelled images from your domain
- You want an adapted backbone before training a detector
Not for
Tags
- dinov3
- self-supervised
- backbone
- tao
- adaptation
About
You say
“Adapt a DINOv3 backbone to my industrial images, with no labels.”
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 adapt a public DINOv3 backbone to your domain from unlabelled images
- Review and adjust the result
Content preview
Files
- BENCHMARK.md7.2 KB
- config/skillspector-baseline.yaml1 KB
- evals/evals.json2.3 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/dinov3-method.md2.3 KB
- references/dinov3-recipes.md3 KB
- references/skill_info.yaml3.6 KB
- references/spec_template_convert.yaml2.7 KB
- references/spec_template_export.yaml2.6 KB
- references/spec_template_inference.yaml2.4 KB
- references/spec_template_train_highres.yaml3.4 KB
- references/spec_template_train.yaml4 KB
- schemas/convert.schema.json57.8 KB
- schemas/export.schema.json58.7 KB
- schemas/inference.schema.json58.8 KB
- schemas/manifest.json20.5 KB
- schemas/train.schema.json55.8 KB
- skill-card.md4.8 KB
- SKILL.md9 KB
- skill.oms.sig7.8 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-dinov3
- Licence
- Apache-2.0
Notice
« tao-train-dinov3 » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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