README.md

metadata

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

# 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