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Sensor AI
Pages
Introduction
Core Features
Annotation Tool
Crowdsourced Annotation
Dataset Marketplace
AI Model Training
Roadmap
Tokenomics
Token Utilities
Token Distribution
Governance
Technical Documentation
Use Cases
Tutorials
Annotating a dataset
Selling a dataset
Training a custom model
FAQ
Links
Resources
Privacy Policy
Terms of Service
Disclaimer
Core Features
AI Model Training
Train custom models using decentralized infrastructure.
Accessing Compute Resources
:
Integrations with networks like
Golem
or
iExec
for on-demand GPU/CPU power.
Submit training jobs via smart contracts; pay in $SENSE.
Cost Structure
:
Pay-per-use
: Tokens are deducted based on compute time/data size.
Discounts
: Staking $SENSE reduces fees or prioritizes jobs.
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