FA

dog-qiuqiu/FastestDet

:zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

855 153 +0/wk
GitHub
computer-vision deep-learning object-detection
Trend 0

Star & Fork Trend (30 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

dog-qiuqiu/FastestDet has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric FastestDet DL-NLP-Readings FaceRank ai_projects
Stars 855 855855856
Forks 153 260208191
Weekly Growth +0 +0+0-1
Language Python TeXPythonJupyter Notebook
Sources 1 111
License BSD-3-Clause MITGPL-3.0NOASSERTION

Capability Radar vs DL-NLP-Readings

FastestDet
DL-NLP-Readings
Maintenance Activity 0

Last code push 1119 days ago.

Community Engagement 89

Fork-to-star ratio: 17.9%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under BSD-3-Clause. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.