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Update TFLite Docs images (#8605)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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docs/en/integrations/coreml.md
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@ -18,9 +18,10 @@ The CoreML export format allows you to optimize your [Ultralytics YOLOv8](https:
[CoreML](https://developer.apple.com/documentation/coreml) is Apple's foundational machine learning framework that builds upon Accelerate, BNNS, and Metal Performance Shaders. It provides a machine-learning model format that seamlessly integrates into iOS applications and supports tasks such as image analysis, natural language processing, audio-to-text conversion, and sound analysis.
Applications can take advantage of Core ML without the need to have a network connection or API calls because the Core ML framework works using on-device computing. This means model inferencing can be performed locally on the user's device.
Applications can take advantage of Core ML without the need to have a network connection or API calls because the Core ML framework works using on-device computing. This means model inference can be performed locally on the user's device.
## Key Features of CoreML Models
Apple's CoreML framework offers robust features for on-device machine learning. Here are the key features that make CoreML a powerful tool for developers:
- **Comprehensive Model Support**: Converts and runs models from popular frameworks like TensorFlow, PyTorch, scikit-learn, XGBoost, and LibSVM.