efficientnet b3.imagenet EU AI Act Compliance Profile
smp-hub
Your risk depends on how you use efficientnet b3.imagenet
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as LIMITED RISK
efficientnet b3.imagenet is a image classification model by smp-hub. Built with segmentation-models-pytorch. Licensed under other. 5K downloads on HuggingFace.
Applicable Articles
Who does what
smp-hub (provider)Their job
- Provider obligations being compiled
You (deployer)Your job
- •AI Literacy (Art. 4) (Art. 4)
- •AI Disclosure (Art. 50) (Art. 50)
Risk Assessment Reasoning
This model is classified as Limited Risk under the EU AI Act. Deployers must comply with transparency obligations (Art. 50), ensuring users are informed they are interacting with an AI system. AI literacy training (Art. 4) is also required. Image classification of persons may constitute biometric categorization subject to restrictions under Art. 5(1).
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Frequently Asked Questions
What is efficientnet b3.imagenet's EU AI Act risk classification?
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efficientnet b3.imagenet is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy efficientnet b3.imagenet?
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As a efficientnet b3.imagenet deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is efficientnet b3.imagenet?
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efficientnet b3.imagenet is a Image Classification model by smp-hub. It has 5K downloads on HuggingFace. Licensed under other.
What are the EU AI Act deadlines for efficientnet b3.imagenet?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
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