Mirali33/Mars-Bench

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. 1.Select a tab for the task you're interested in (Classification, Segmentation, or Object Detection)
2. 2.Use the filter boxes to select:
3. 3.Which datasets to display
4. 4.Which metrics to show
5. 5.Which model types/organizations to include
6. 6.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