Ant Group launches SkySense, a 2 billion parameter multi-modal remote sensing basic model

According to news from this site on February 28, Ant Group announced the launch of the 2 billion parameter multi-modal remote sensing basic model SkySense, which supports text, infrared light, visible light, SAR radar and other modes, and supports multi-resolution Time-series remote sensing image modeling can be used for landform, crop observation and interpretation, etc., effectively assisting agricultural production and management. According to reports, the R&D staff Ant Bailing’s large model multi-modal capabilities used an internally constructed 1.9 billion remote sensing image data set for pre-training, and finally obtained the 2.06 billion parameter model SkySense. Officials stated that this is the largest multi-modal remote sensing model with the largest parameter scale, the most complete coverage of tasks, and the highest recognition accuracy in the world so far.

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