yolov5-object-detection
yolov5-object-detection is a Computer vision skill for AI agents, published by Seeed-Projects in the Seeed-Jetson-DevelopTool repository on GitHub. Skillspace rates yolov5-object-detection C (71/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end YOLOv5 few-shot object detection pipeline on Jetson. Covers dataset collection, annotation with Roboflow, training (local PC, Google Colab, or Ultralytics HUB), and inference on Jetson using TensorRT or DeepStream SDK. Supports all Jetson platforms from Nano to AGX Xavier.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 51
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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