---
title: README
emoji: 👀
colorFrom: gray
colorTo: gray
sdk: static
pinned: false
---


<div align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/6567e9af88bfbc261a34673d/riHfcszflP6BzNls2Phrf.png" 
    width=400px
    style="border-radius: 20px;"
    />
  
</div>

<div align="center">
  <h2> Want to contribute? </h2>
</div>

- 🥙 For naming models, spaces, datasets, and metrics, employ [kebab-case](https://en.wiktionary.org/wiki/kebab_case). Use lowercase letters, except for acronyms, which may be capitalized.
- 🔒 Please mind about making the models, spaces and datasets public or private. Metrics can (and have to) be public.
- 🤐 Do not expose passwords or tokens, use [secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets).

<div align="center">
  <h2> Looking for metrics? </h2>
</div>

- https://huggingface.co/spaces/SEA-AI/det-metrics
  - Object detection metrics based on [`pycocotools`](https://github.com/cocodataset/cocoapi) and [torchmetrics' Mean Avergae Precision](https://lightning.ai/docs/torchmetrics/stable/detection/mean_average_precision.html).
- https://huggingface.co/spaces/SEA-AI/box-metrics
  - Bounding box statistics, including IOU, BEP (bottom edge proximity), and others.
- https://huggingface.co/spaces/SEA-AI/horizon-metrics
  - Comparing horizons in an image w.r.t their midpoint and slope errors
- https://huggingface.co/spaces/SEA-AI/mot-metrics
  - Multi-object-tracking metrics using [`py-motmetrics`](https://github.com/cheind/py-motmetrics) 
- https://huggingface.co/spaces/SEA-AI/panoptic-quality
  - Evaluating panoptic models