README.md

metadata

title: OOD Detection
emoji: 🧐
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 3.12.0
app_file: app.py
pinned: true
license: mit

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OOD Detection Demo

Out-of-distribution (OOD) detection is an essential safety measure for machine learning models. This app demonstrates how these methods can be useful in determining wether the inputs of a ResNet-50 model trained on ImageNet-1K can be trusted by the model.

This demo is online at https://huggingface.co/spaces/edadaltocg/ood-detection

Running Gradio app locally:

1. Install dependencies:

pip install -r requirements.txt

2. Run the app:

python app.py

3. Open the app in your browser at http://localhost:7860.

Methods implemented

• Mahalanobis Distance
• Maximum Softmax Probability

• Energy Based Out-of-Distribution Detection

OOD Detection

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