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Roadwork Detection Model

Model Details

Model Description

This is a Vision Transformer (ViT) model trained to detect roadwork in traffic images. The model can classify images into three categories: Roadwork Type A (normal/minimal), Roadwork Type B (significant), and Non-Roadwork. It provides binary output for miner tasks in blockchain networks.

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License: MIT

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Model Sources

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Uses

Direct Use

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Downstream Use

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Out-of-Scope Use

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Bias, Risks, and Limitations

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How to Get Started with the Model

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Training Details

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Training Data

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Training Procedure

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Evaluation

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Testing Data, Factors & Metrics

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Summary

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Model Examination

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator

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Technical Specifications

Model Architecture and Objective

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Compute Infrastructure

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Citation

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Glossary

• Roadwork Type A: [More Information Needed]
• Roadwork Type B: [More Information Needed]
• Non-Roadwork: [More Information Needed]
• Binary Classification: [More Information Needed]

More Information

This model is designed for use in blockchain mining applications where miners are rewarded based on their accuracy in detecting roadwork in traffic images. The model provides both detailed classification and binary output suitable for different use cases.

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