FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
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Train an OCDNet scene text detector v1.0.0
Use this resource to train and evaluate an arbitrarily oriented text detector on natural images
New
- 499 downloads
- 183 likes
- 240 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install scene-text-detector-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 writes the spec from your data, runs the TAO action you need (training, evaluation, pruning, export or inference) and checks the results. It also covers the TensorRT steps 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 common errors
- references/spec_template_export.yaml : export spec template
- references/spec_template_prune.yaml : pruning spec template
Good fit for
- You want to read signs or panels in photos
- You need to prune or export a text detector
Not for
Tags
- ocdnet
- text detection
- tao
- training
- ocr
About
You say
“Train OCDNet on my street photos with angled text.”
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 an arbitrarily oriented text detector on natural images
- 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.yaml6.3 KB
- references/spec_template_deploy_evaluate.yaml0.8 KB
- references/spec_template_deploy_gen_trt_engine.yaml0.5 KB
- references/spec_template_deploy_inference.yaml0.4 KB
- references/spec_template_evaluate.yaml3.5 KB
- references/spec_template_export.yaml3.2 KB
- references/spec_template_gen_trt_engine.yaml3.5 KB
- references/spec_template_inference.yaml3.5 KB
- references/spec_template_prune.yaml3.2 KB
- references/spec_template_quantize.yaml3.1 KB
- references/spec_template_retrain.yaml3.1 KB
- references/spec_template_train.yaml3.1 KB
- references/tao-deploy-ocdnet.md6.3 KB
- references/tao-deploy-ocdnet.skill_info.yaml3.4 KB
- schemas/evaluate.schema.json62.7 KB
- schemas/export.schema.json57.6 KB
- schemas/gen_trt_engine.schema.json64.7 KB
- schemas/inference.schema.json62.7 KB
- schemas/manifest.json27.1 KB
- schemas/prune.schema.json57.2 KB
- schemas/quantize.schema.json55.1 KB
- schemas/retrain.schema.json55.1 KB
- schemas/train.schema.json55.1 KB
- skill-card.md4.5 KB
- SKILL.md14.5 KB
- skill.oms.sig10.3 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-ocdnet
- Licence
- Apache-2.0
Notice
« tao-train-ocdnet » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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