Update HUB SDK Docs (#13309)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/usage/callbacks.md

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-description: Learn how to utilize callbacks in the Ultralytics framework during train, val, export, and predict modes for enhanced functionality.
-keywords: Ultralytics, YOLO, callbacks guide, training callback, validation callback, export callback, prediction callback
+description: Explore Ultralytics callbacks for training, validation, exporting, and prediction. Learn how to use and customize them for your ML models.
+keywords: Ultralytics, callbacks, training, validation, export, prediction, ML models, YOLOv8, Python, machine learning
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 ## Callbacks

docs/en/usage/cfg.md

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-description: Master YOLOv8 settings and hyperparameters for improved model performance. Learn to use YOLO CLI commands, adjust training settings, and optimize YOLO tasks & modes.
-keywords: YOLOv8, settings, hyperparameters, YOLO CLI commands, YOLO tasks, YOLO modes, Ultralytics documentation, model optimization, YOLOv8 training
+description: Optimize your YOLO model's performance with the right settings and hyperparameters. Learn about training, validation, and prediction configurations.
+keywords: YOLO, hyperparameters, configuration, training, validation, prediction, model settings, Ultralytics, performance optimization, machine learning
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 YOLO settings and hyperparameters play a critical role in the model's performance, speed, and accuracy. These settings and hyperparameters can affect the model's behavior at various stages of the model development process, including training, validation, and prediction.

docs/en/usage/cli.md

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-description: Learn how to use Ultralytics YOLO through Command Line, train models, run predictions and exports models to different formats easily using terminal commands.
-keywords: Ultralytics, YOLO, CLI, train, validation, prediction, command line interface, YOLO CLI, YOLO terminal, model training, prediction, exporting
+description: Explore the YOLOv8 command line interface (CLI) for easy execution of detection tasks without needing a Python environment.
+keywords: YOLOv8 CLI, command line interface, YOLOv8 commands, detection tasks, Ultralytics, model training, model prediction
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 # Command Line Interface Usage

docs/en/usage/engine.md

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-description: Discover how to customize and extend base Ultralytics YOLO Trainer engines. Support your custom model and dataloader by overriding built-in functions.
-keywords: Ultralytics, YOLO, trainer engines, BaseTrainer, DetectionTrainer, customizing trainers, extending trainers, custom model, custom dataloader
+description: Learn to customize the YOLOv8 Trainer for specific tasks. Step-by-step instructions with Python examples for maximum model performance.
+keywords: Ultralytics, YOLOv8, Trainer Customization, Python, Machine Learning, AI, Model Training, DetectionTrainer, Custom Models
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 Both the Ultralytics YOLO command-line and Python interfaces are simply a high-level abstraction on the base engine executors. Let's take a look at the Trainer engine.

docs/en/usage/python.md

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-description: Boost your Python projects with object detection, segmentation and classification using YOLOv8. Explore how to load, train, validate, predict, export, track and benchmark models with ease.
-keywords: YOLOv8, Ultralytics, Python, object detection, segmentation, classification, model training, validation, prediction, model export, benchmark, real-time tracking
+description: Learn to integrate YOLOv8 in Python for object detection, segmentation, and classification. Load, train models, and make predictions easily with our comprehensive guide.
+keywords: YOLOv8, Python, object detection, segmentation, classification, machine learning, AI, pretrained models, train models, make predictions
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 # Python Usage

docs/en/usage/simple-utilities.md

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-description: Discover how to extend the utility of the Ultralytics package to support your development process.
-keywords: Ultralytics, YOLO, custom, function, workflow, utility, support, 
+description: Explore essential utilities in the Ultralytics package to speed up and enhance your workflows. Learn about data processing, annotations, conversions, and more.
+keywords: Ultralytics, utilities, data processing, auto annotation, YOLO, dataset conversion, bounding boxes, image compression, machine learning tools
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 # Simple Utilities