commaai/commavq

commaVQ commaVQ is a dataset of 100,000 heavily compressed driving videos for Machine Learning research. A heavily compressed driving video like this is useful to experiment with GPT-like video prediction models. This repo includes an encoder/decoder and an example of a video prediction model. Examples and trained models can be found here: https://github.com/commaai/commavq Overview A VQ-VAE [1,2] was used to heavily compress each frame into 128 "tokens" of 10… See the full description on the dataset page: https://huggingface.co/datasets/commaai/commavq.

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