What is awesome-object-detection?

56/100
Trust Score (D)
⚠️ Use Caution

awesome-object-detection is a other that Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html. It has a Nerq Trust Score of 56/100 (D). 7.5K GitHub stars. Published by Unknown. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

56
TRUST SCORE
D
GRADE
7.5K
STARS
0
DOWNLOADS

What awesome-object-detection Does

awesome-object-detection is a tool in the other category. Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html. It is published by an independent developer and has no specified license. With 7.5K GitHub stars and 0 downloads, it has a large and active community of users and contributors.

Who Should Use awesome-object-detection

awesome-object-detection is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categoryother
LicenseNot specified
Typetool
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=amusi-awesome-object-detection

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Frequently Asked Questions

What is awesome-object-detection used for?
awesome-object-detection is a other tool. Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html.
Is awesome-object-detection free?
License: Check project page. awesome-object-detection has 7.5K GitHub stars.
Is awesome-object-detection safe?
awesome-object-detection has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to awesome-object-detection?
Top alternatives: cs-video-courses, awesome-scalability, superpowers. See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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