| --- |
| title: compaTAI |
| emoji: 🚗💨 |
| colorFrom: indigo |
| colorTo: blue |
| sdk: static |
| pinned: true |
| license: mit |
| --- |
| |
| # compaTAI: Autonomous Driving for Chaotic Urban Environments 🌆🤖 |
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| **Revolutionizing self-driving AI with unstructured urban training data** |
| *"If it works in Mexico City, it works anywhere."* |
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|
| ## 🚀 Key Features |
| - **Chaos-proven models**: Specialized in unstructured environments (Mexico City, Mumbai, Lagos) |
| - **Hyperlocal datasets**: 1000+ hours of annotated traffic videos from emerging markets |
| - **Simulation suite**: CARLA-based environment replicating Latin American urban chaos |
| - **Edge case library**: Pedestrians, unmarked roads, aggressive drivers, and more |
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|
| ## 📂 Dataset Access |
| ```python |
| from datasets import load_dataset |
| mexico_city_traffic = load_dataset("compaTAI/CDMX-Chaos-v5") |
