yolo-detection-2026-coral-tpu-win-wsl

yolo-detection-2026-coral-tpu-win-wsl is a Computer vision skill for AI agents, published by SharpAI in the DeepCamera repository on GitHub. Skillspace rates yolo-detection-2026-coral-tpu-win-wsl B (84/100) and it passed the safety scan; a judge model has also reviewed it.

Google Coral Edge TPU — real-time object detection natively via Windows WSL

Grade
B
Quality
84 / 100
Safety
Passed
GitHub stars
2,908

Placed #6 of 6 in the judged category final for Computer vision.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubSharpAI/DeepCamera

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 1 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. uses Google's public Coral Edge TPU accelerator product

Judge review

Placed #6 of 6 in the judged category final for Computer vision.

  • Trigger5555
  • Instructions4545
  • Specificity6060
  • Safety7575
  • Disclosure5050
  • Maintenance3535
A narrow hardware/install writeup for one specific TPU-over-WSL setup with no workflow beyond running the installer script.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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