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---
title: Mars-Bench
emoji: 🚀
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
---
# Mars-Bench 🚀
A comprehensive benchmark and leaderboard for comparing state-of-the-art computer vision models on Mars-specific datasets across different tasks: Classification, Segmentation, and Object Detection.
## Features
- **Three Task Categories**: Classification, Segmentation, and Object Detection
- **Interactive Filters**:
- Dataset selection with checkboxes
- Metrics selection with checkboxes
- Model type/organization filtering
- **Real-time Updates**: Table updates dynamically based on selected filters
- **Clean UI**: Modern design inspired by leading HuggingFace leaderboards
## How to Use
1. Select a tab for the task you're interested in (Classification, Segmentation, or Object Detection)
2. Use the filter boxes to select:
- Which datasets to display
- Which metrics to show
- Which model types/organizations to include
3. The leaderboard table updates automatically based on your selections
## Local Development
```bash
# Install dependencies
pip install -r requirements.txt
# Run the app
python app.py
```
## Customization
To add your own data, modify the data dictionaries in `app.py`:
- `CLASSIFICATION_DATA`
- `SEGMENTATION_DATA`
- `DETECTION_DATA`
Each entry should have:
- `model`: Model name
- `organization`: Organization/creator
- `dataset`: Dataset name
- `metric`: Metric name
- `value`: Numeric value
## License
MIT
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