KerasCV provides production-ready computer vision components including pre-trained models for classification, object detection, segmentation, and image generation. Built as a horizontal extension of the Keras API, it offers data augmentation pipelines, metrics, callbacks, and layers optimized for common CV tasks. The library supports multi-framework training and inference with seamless model portability across TensorFlow, JAX, and PyTorch.