Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

docs/reference/yolo/v8/detect/predict.md

@@ -1,5 +1,6 @@
 ---
 description: Detect and predict objects in images and videos using the Ultralytics YOLO v8 model with DetectionPredictor.
+keywords: detectionpredictor, ultralytics yolo, object detection, neural network, machine learning
 ---
 
 # DetectionPredictor
@@ -10,4 +11,4 @@ description: Detect and predict objects in images and videos using the Ultralyti
 # predict
 ---
 :::ultralytics.yolo.v8.detect.predict.predict
-<br><br>
+<br><br>

docs/reference/yolo/v8/detect/train.md

@@ -1,5 +1,6 @@
 ---
 description: Train and optimize custom object detection models with Ultralytics DetectionTrainer and train functions. Get started with YOLO v8 today.
+keywords: DetectionTrainer, Ultralytics YOLO, custom object detection, train models, AI applications
 ---
 
 # DetectionTrainer
@@ -10,4 +11,4 @@ description: Train and optimize custom object detection models with Ultralytics
 # train
 ---
 :::ultralytics.yolo.v8.detect.train.train
-<br><br>
+<br><br>

docs/reference/yolo/v8/detect/val.md

@@ -1,5 +1,6 @@
 ---
 description: Validate YOLOv5 detections using this PyTorch module. Ensure model accuracy with NMS IOU threshold tuning and label mapping.
+keywords: detection, validator, YOLOv5, object detection, model improvement, Ultralytics Docs
 ---
 
 # DetectionValidator
@@ -10,4 +11,4 @@ description: Validate YOLOv5 detections using this PyTorch module. Ensure model
 # val
 ---
 :::ultralytics.yolo.v8.detect.val.val
-<br><br>
+<br><br>