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ultralytics 8.2.2 replace COCO128 with COCO8 (#10167)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-04-18 20:47:21 -07:00 • committed by GitHub
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docs/en/integrations/index.md
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@ -71,8 +71,8 @@ Welcome to the Ultralytics Integrations page! This page provides an overview of
- [TFLite Edge TPU](edge-tpu.md): Developed by [Google](https://www.google.com) for optimizing TensorFlow Lite models on Edge TPUs, this model format ensures high-speed, efficient edge computing.
- [TF.js](tfjs.md): Developed by [Google](https://www.google.com) to facilitate machine learning in browsers and Node.js, TF.js allows JavaScript-based deployment of ML models.
- [TF.js](tfjs.md): Developed by [Google](https://www.google.com) to facilitate machine learning in browsers and Node.js, TF.js allows JavaScript-based deployment of ML models.
- [PaddlePaddle](paddlepaddle.md): An open-source deep learning platform by [Baidu](https://www.baidu.com/), PaddlePaddle enables the efficient deployment of AI models and focuses on the scalability of industrial applications.
- [NCNN](ncnn.md): Developed by [Tencent](http://www.tencent.com/), NCNN is an efficient neural network inference framework tailored for mobile devices. It enables direct deployment of AI models into apps, optimizing performance across various mobile platforms.