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README.md

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![Tensorflow](https://img.shields.io/badge/tensorflow-v2.9.0+-success.svg)
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[![Contributions Welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/keras-team/keras-cv/issues)
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# Vision
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A computer vision library dedicated for auto-driving, robotics and on device applications.
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# Mission
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KerasCV is a layered repository consisting of core components and modeling components.
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KerasCV is a layered repository consisting of core components and modeling components. The library is targeted at solving object detection, segmentation, and classification problems for auto-driving, robotics and on device applications.
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On the core components, it is made of modular building blocks (ops, functions, layers, metrics, losses, callbacks) that standardizes APIs for computer vision concepts such as data-augmentation pipeline, bounding boxes, keypoints, point clouds, feature pyramid network, etc, so applied computer vision engineers can leverage to quickly assemble production-grade, state-of-the-art
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training and inference pipelines for common tasks such as image classification, object detection and segmentation, image data augmentation, etc.

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