---
language: en
license: cc-by-nc-4.0
tags:
- soccer
- video-qa
- question-answering
- vision-language
- multimodal
- sports-analysis
library_name: transformers
pipeline_tag: video-text-to-text
---

# Soccer QA 4B - Soccer Video Question Answering Model

**⚠️ RESEARCH USE ONLY - NON-COMMERCIAL LICENSE**

Soccer QA 4B is a unified video question-answering model specifically designed for soccer video understanding.

## Model Description

This model can answer questions about soccer videos by analyzing visual content and generating natural language responses.

**Example:**
- **Input**: Video + "What unfolded during the game in the video?"
- **Output**: "During the game, there was a foul committed by a player from the yellow-jerseyed team, leading to a yellow card being issued..."

## Architecture
- **Vision Encoder**: DWT-VJEPA2-based video encoder (vit_giant, 1408 dim)
- **Text Model**: LLaMA 3.2-3B with LoRA fine-tuning
- **Vision-Text Bridge**: Learned projection layer (1408 → 2048 → 3072)
- **Specialization**: Fine-tuned on soccer video QA data

## Usage (Helper functions are in repo)

```python
from soccer_qa_inference import SoccerQA

model = SoccerQA("/path/to/model")
answer = model.ask("video.mp4", "Was this a Foul?", max_tokens=45)
print(answer)
```

## Model Details
- **Parameters**: ~4B total
- **Input**: Video files (16 frames, 256x256) + text questions
- **Output**: Natural language answers
- **Domain**: Soccer/football video analysis
- **Context**: Handles complex game situations, player actions, fouls, etc.

## Training Data
- Soccer video clips with question-answer pairs
- Covers various game situations: fouls, shots, saves, player actions
- Annotated with detailed descriptions of game events

## Limitations
- Research use only, no commercial applications
- Optimized specifically for soccer content
- May not generalize well to other sports or video domains
- Requires high-quality video input for best results

## License
CC-BY-NC-4.0 - Research use only, no commercial applications permitted.

## Citation
```bibtex
@misc{soccer-qa-4b-2025,
  title={Soccer QA 4B: Video Question Answering for Soccer Analysis},
  author={Varun Kodathala, Sports Vision},
  year={2025},
  note={Research model for soccer video understanding}
}
```