metadata

title: PanopticQuality
tags:
  - evaluate
  - metric
description: PanopticQuality score
sdk: gradio
sdk_version: 3.19.1
app_file: app.py
pinned: false
emoji: 🕵️

SEA-AI/PanopticQuality

This hugging face metric uses seametrics.segmentation.PanopticQuality under the hood to compute a panoptic quality score. It is a wrapper class for the torchmetrics class torchmetrics.detection.PanopticQuality.

Getting Started

To get started with PanopticQuality, make sure you have the necessary dependencies installed. This metric relies on the evaluate, seametrics and seametrics[segmentation]libraries for metric calculation and integration with FiftyOne datasets.

Installation

First, ensure you have Python 3.8 or later installed. Then, install det-metrics using pip:

pip install evaluate git+https://github.com/SEA-AI/seametrics@develop

Basic Usage

Metric Settings

Output Values

Further References

seametrics Library: Explore the seametrics GitHub repository for more details on the underlying library.
Torchmetrics: https://lightning.ai/docs/torchmetrics/stable/detection/panoptic_quality.html
Understanding Metrics: The Panoptic Segmentation task, as well as Panoptic Quality as the evaluation metric, were introduced in this paper.

Contribution

Your contributions are welcome! If you'd like to improve SEA-AI/PanopticQuality or add new features, please feel free to fork the repository, make your changes, and submit a pull request.