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ad-video-classifier

A multimodal model that classifies advertising videos by production format. The model predicts one of three classes: UGC, motion graphics, and live action.

Training and inference code is available at madup-inc/ad-video-classifier.

Usage

git clone https://github.com/madup-inc/ad-video-classifier.git
cd ad-video-classifier
pip install -r requirements.txt

huggingface-cli download MADUP/ad-video-classifier adapter_model.bin --local-dir .
python inference.py sample.mp4

License

Apache License 2.0.

Acknowledgement

This work was supported by the Ministry of Science and ICT (MSIT) and the Korea Association for ICT Promotion (KAIT) under the Advanced GPU Utilization Support Program.

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