metadata

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

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. They try to determine wether we can trust the predictions of a ResNet-50 model trained on ImageNet-1K.

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

Running Gradio app locally:

Install dependencies:

pip install -r requirements.txt

Run the app:

python app.py

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

Methods implemented

Mahalanobis Distance
Maximum Softmax Probability
Energy Based Out-of-Distribution Detection