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resmasknet EU AI Act Compliance Profile
py-feat
Image Feature Extractionmitpy-feat
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
PipelineImage Feature Extraction
Librarypy-feat
Licensemit
CreatedJul 2024
SyncedApr 3, 2026
④ Obligations
1apply
~8h effort
□ AI Literacy (Art. 4)
$ npx complior scan
Your risk depends on how you use resmasknet
| 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 MINIMAL
resmasknet is a image feature extraction model by py-feat. Built with py-feat. Licensed under mit. 8.6K downloads on HuggingFace.
Applicable Articles
Who does what
py-feat (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
This model is classified as Minimal Risk under the EU AI Act. No mandatory compliance obligations apply, but voluntary codes of practice are encouraged. AI literacy training (Art. 4) is recommended for all deployers.
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Frequently Asked Questions
What is resmasknet's EU AI Act risk classification?
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resmasknet is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy resmasknet?
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As a resmasknet deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is resmasknet?
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resmasknet is a Image Feature Extraction model by py-feat. It has 8.6K downloads on HuggingFace. Licensed under mit.
What are the EU AI Act deadlines for resmasknet?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check resmasknet compliance in your codebase
One command to scan. Open-source CLI.
$ npx complior scan