C-RADIOv4: A Distilled Vision Foundation Model for FiftyOne

C-RADIOv4 is an advanced vision foundation model developed by NVIDIA Labs, which integrates the capabilities of multiple state-of-the-art models—SigLIP2, DINOv3, and SAM3—into a single architecture through innovative multi-teacher distillation. This unified model excels in tasks such as zero-shot classification, dense perception, and segmentation, offering competitive performance with significantly fewer parameters than its predecessors. Key technical innovations include stochastic resolution training, shift equivariance, and ViTDet mode for efficient high-resolution processing. C-RADIOv4 is designed to work seamlessly with FiftyOne, a platform that facilitates computer vision workflows by providing tools for dataset exploration, visualization, similarity search, and more. Its application spans various domains, including autonomous vehicles, robotics, and document processing, making it a versatile solution for both research and commercial purposes.