5 Useful Datasets for Training Multimodal AI Models
SMRTR summary
Multimodal AI systems are becoming more versatile, requiring diverse datasets combining text, images, audio, and video for training. Notable datasets like Flickr30K Entities, InternVid, MuSe-CaR, MovieQA, and MINT-1T offer various applications, from image captioning to sentiment analysis, enabling AI models to understand complex relationships across different modalities.
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