yolov11 license plate detection EU AI Act Compliance Profile
morsetechlab
Your risk depends on how you use yolov11 license plate detection
| 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
yolov11 license plate detection is a object detection model by morsetechlab. Built with ultralytics. Supports en. Licensed under agpl-3.0. 11.2K downloads on HuggingFace.
Applicable Articles
Who does what
morsetechlab (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. Object detection in public spaces may trigger biometric categorization restrictions under Art. 5(1).
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Frequently Asked Questions
What is yolov11 license plate detection's EU AI Act risk classification?
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yolov11 license plate detection is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy yolov11 license plate detection?
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As a yolov11 license plate detection deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is yolov11 license plate detection?
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yolov11 license plate detection is a Object Detection model by morsetechlab. It has 11.2K downloads on HuggingFace. Licensed under agpl-3.0.
What are the EU AI Act deadlines for yolov11 license plate detection?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
Check yolov11 license plate detection compliance in your codebase
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