PersonalJeebus/pixlvault-anomaly-tagger

Model Card for Model ID

Automatic anomaly tagging in PixlVault to assist scoring/downranking of bad AI generations.

Model Details

Model Description

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Model Sources [optional]

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Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

Any medical, legal, employment, or other high-stakes decisions Inferring sensitive traits or identity attributes about people General-purpose semantic image understanding

Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Evaluation

Evaluation is performed on a frozen internal evaluation set aligned with the supported anomaly tags.

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Citation [optional]

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