Top 15+ Multimodal Datasets
Multimodal data is data from multiple modalities, such as text, images, audio, video, and sensors, combined so AI can understand the same event or object with richer context than any single source alone.
Top 30+ Real-World Multimodal Applications Across Industries
Multimodal applications use multimodal AI systems to combine multiple data types within a single model. By integrating diverse data modalities through data fusion, multimodal AI provide understanding of complex, real-world scenarios than unimodal AI.
![The Ultimate Guide to Multimodal AI [Technical Explanation & Use Cases]](/content/images/size/w2000/2025/12/Robotics--6-.png)
The Ultimate Guide to Multimodal AI [Technical Explanation & Use Cases]
Multimodal AI processes and combines multimodal data at the same time. Multimodal AI systems gain richer context by aligning visual data, textual data, and other input data and handle complex tasks like image captioning, visual search, and generate human-sounding outputs, than unimodal AI systems.