Individual skill
tao-train-dino
DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".
skills/tao-train-dino/SKILL.md
Source commit fce3cca4170be75e82c64920654d56ee2811b005
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,910
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- object Declared skill tag
- detection Declared skill tag
- engineering Derived category
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Browse files
BENCHMARK.mddoc · 7,118 bytesSKILL.mdcore · 11,185 bytesSKILL.mdcore · 11,185 bytesSKILL.mdcore · 11,185 bytesSKILL.mdcore · 11,185 bytesSKILL.mdcore · 11,185 bytesconfig/skillspector-baseline.yamlasset · 834 bytesevals/evals.jsonasset · 793 bytesreferences/detailed-guide.mddoc · 623 bytesreferences/dino-actions-errors.mddoc · 6,019 bytesreferences/dino-data-specs.mddoc · 13,868 bytesreferences/dino-tuning-multigpu.mddoc · 5,927 bytesreferences/skill_info.yamlasset · 4,258 bytesreferences/spec_template_deploy_evaluate.yamlasset · 598 bytesreferences/spec_template_deploy_gen_trt_engine.yamlasset · 735 bytesreferences/spec_template_deploy_inference.yamlasset · 600 bytesreferences/spec_template_distill.yamlasset · 4,384 bytesreferences/spec_template_evaluate.yamlasset · 3,210 bytesreferences/spec_template_export.yamlasset · 3,307 bytesreferences/spec_template_gen_trt_engine.yamlasset · 3,457 bytesreferences/spec_template_inference.yamlasset · 3,290 bytesreferences/spec_template_quantize.yamlasset · 3,062 bytesreferences/spec_template_train.yamlasset · 3,062 bytesreferences/tao-deploy-dino.mddoc · 9,223 bytesreferences/tao-deploy-dino.skill_info.yamlasset · 2,795 bytesschemas/distill.schema.jsonasset · 52,542 bytesschemas/evaluate.schema.jsonasset · 55,904 bytesschemas/export.schema.jsonasset · 56,469 bytesschemas/gen_trt_engine.schema.jsonasset · 61,147 bytesschemas/inference.schema.jsonasset · 56,844 bytesschemas/manifest.jsonasset · 18,906 bytesschemas/quantize.schema.jsonasset · 52,544 bytesschemas/train.schema.jsonasset · 52,538 bytesskill-card.mddoc · 4,360 bytesskill.oms.sigasset · 11,065 bytes
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# DINO
> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).
DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support.
Uses pretrained backbone weights (e.g. ResNet-50 ImageNet). Set `model.pretrained_backbone_path` for backbone-only or `train.pretrained_model_path` for full model.
## When To Use
Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector.
For TAO Deploy TensorRT actions (`gen_trt_engine`, TensorRT `evaluate`, and
TensorRT `inference`), read `references/tao-deploy-dino.md` first. Deploy spec templates live