LogoClawIndex
CasesSkillsAbout
LogoClawIndex

tao-train-codetr - Train and run TAO Co-DETR object detection

Trains, evaluates, and runs inference for TAO Co-DETR object detection models.

Tags

Updated: 2026-10-05

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Train Co-DETR models
  • Evaluate detection models
  • Run image inference
  • Load detector checkpoints
  • Apply category mappings

Inputs

  • Hydra experiment specification
  • COCO image datasets
  • COCO annotation files
  • Inference image directory
  • Classmap file
  • Detector checkpoint
  • Category mapping

Outputs

  • Training checkpoints
  • Evaluation results
  • Inference detection results
  • Results directories

Requirements

  • Docker
  • nvidia-container-toolkit
  • TAO PyTorch image
  • Co-DETR package in the image

Source

  • Spec: SKILL.md

ClawIndex

OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

Index

Skills·
Cases

Meta

About·
Disclaimer·
Email·
GitHub
© 2026 ClawIndex All Rights Reserved.
object detection
DETR
Co-DETR
TAO
computer vision
Train Co-DETR models
Evaluate detection models
Run image inference
Load detector checkpoints
Hydra experiment specification
COCO image datasets
COCO annotation files
Training checkpoints
Evaluation results
Inference detection results