What is cifar-10-mobilenet?
42/100
Trust Score (E)
⚠️ Use Caution
cifar-10-mobilenet is a image-classification that An AI model. It has a Nerq Trust Score of 42/100 (E). 1 GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 1 stars, 2.5K downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
42
TRUST SCORE
E
GRADE
1
STARS
2.5K
DOWNLOADS
What cifar-10-mobilenet Does
cifar-10-mobilenet is a model in the image-classification category. An AI model. It is published by an independent developer and has no specified license. With 1 GitHub stars and 2.5K downloads, it has a small community of users and contributors.
Who Should Use cifar-10-mobilenet
cifar-10-mobilenet is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | image-classification |
| License | Not specified |
| Type | model |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=aijadugar-cifar-10-mobilenet
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| OppaiOracle | 42 | 55 |
| taggerine | 42 | 51 |
| Hydra | 41 | 40 |
| cl_tagger_v2 | 41 | 13 |
| LibreHPS-4B-v1.1 | 39 | 9 |
Frequently Asked Questions
What is cifar-10-mobilenet used for?
cifar-10-mobilenet is a image-classification tool. An AI model.
Is cifar-10-mobilenet free?
License: Check project page. cifar-10-mobilenet has 1 GitHub stars.
Is cifar-10-mobilenet safe?
cifar-10-mobilenet has a Nerq Trust Score of 42/100 (E). Evaluate carefully.
What are alternatives to cifar-10-mobilenet?
Top alternatives: OppaiOracle, taggerine, Hydra. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.