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/utils/callbacks/base.md

@@ -1,5 +1,6 @@
 ---
 description: Learn about YOLO's callback functions from on_train_start to add_integration_callbacks. See how these callbacks modify and save models.
+keywords: YOLO, Ultralytics, callbacks, object detection, training, inference
 ---
 
 # on_pretrain_routine_start
@@ -135,4 +136,4 @@ description: Learn about YOLO's callback functions from on_train_start to add_in
 # add_integration_callbacks
 ---
 :::ultralytics.yolo.utils.callbacks.base.add_integration_callbacks
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/clearml.md

@@ -1,5 +1,6 @@
 ---
 description: Improve your YOLOv5 model training with callbacks from ClearML. Learn about log debug samples, pre-training routines, validation and more.
+keywords: Ultralytics YOLO, callbacks, log plots, epoch monitoring, training end events
 ---
 
 # _log_debug_samples
@@ -35,4 +36,4 @@ description: Improve your YOLOv5 model training with callbacks from ClearML. Lea
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.clearml.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/comet.md

@@ -1,5 +1,6 @@
 ---
 description: Learn about YOLO callbacks using the Comet.ml platform, enhancing object detection training and testing with custom logging and visualizations.
+keywords: Ultralytics, YOLO, callbacks, Comet ML, log images, log predictions, log plots, fetch metadata, fetch annotations, create experiment data, format experiment data
 ---
 
 # _get_comet_mode
@@ -120,4 +121,4 @@ description: Learn about YOLO callbacks using the Comet.ml platform, enhancing o
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.comet.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/dvc.md

@@ -0,0 +1,54 @@
+---
+description: Explore Ultralytics YOLO Utils DVC Callbacks such as logging images, plots, confusion matrices, and training progress.
+keywords: Ultralytics, YOLO, Utils, DVC, Callbacks, images, plots, confusion matrices, training progress
+---
+
+# _logger_disabled
+---
+:::ultralytics.yolo.utils.callbacks.dvc._logger_disabled
+<br><br>
+
+# _log_images
+---
+:::ultralytics.yolo.utils.callbacks.dvc._log_images
+<br><br>
+
+# _log_plots
+---
+:::ultralytics.yolo.utils.callbacks.dvc._log_plots
+<br><br>
+
+# _log_confusion_matrix
+---
+:::ultralytics.yolo.utils.callbacks.dvc._log_confusion_matrix
+<br><br>
+
+# on_pretrain_routine_start
+---
+:::ultralytics.yolo.utils.callbacks.dvc.on_pretrain_routine_start
+<br><br>
+
+# on_pretrain_routine_end
+---
+:::ultralytics.yolo.utils.callbacks.dvc.on_pretrain_routine_end
+<br><br>
+
+# on_train_start
+---
+:::ultralytics.yolo.utils.callbacks.dvc.on_train_start
+<br><br>
+
+# on_train_epoch_start
+---
+:::ultralytics.yolo.utils.callbacks.dvc.on_train_epoch_start
+<br><br>
+
+# on_fit_epoch_end
+---
+:::ultralytics.yolo.utils.callbacks.dvc.on_fit_epoch_end
+<br><br>
+
+# on_train_end
+---
+:::ultralytics.yolo.utils.callbacks.dvc.on_train_end
+<br><br>

docs/reference/yolo/utils/callbacks/hub.md

@@ -1,5 +1,6 @@
 ---
 description: Improve YOLOv5 model training with Ultralytics' on-train callbacks. Boost performance on-pretrain-routine-end, model-save, train/predict start.
+keywords: Ultralytics, YOLO, callbacks, on_pretrain_routine_end, on_fit_epoch_end, on_train_start, on_val_start, on_predict_start, on_export_start
 ---
 
 # on_pretrain_routine_end
@@ -40,4 +41,4 @@ description: Improve YOLOv5 model training with Ultralytics' on-train callbacks.
 # on_export_start
 ---
 :::ultralytics.yolo.utils.callbacks.hub.on_export_start
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/mlflow.md

@@ -1,5 +1,6 @@
 ---
 description: Track model performance and metrics with MLflow in YOLOv5. Use callbacks like on_pretrain_routine_end or on_train_end to log information.
+keywords: Ultralytics, YOLO, Utils, MLflow, callbacks, on_pretrain_routine_end, on_train_end, Tracking, Model Management, training
 ---
 
 # on_pretrain_routine_end
@@ -15,4 +16,4 @@ description: Track model performance and metrics with MLflow in YOLOv5. Use call
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.mlflow.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/neptune.md

@@ -1,5 +1,6 @@
 ---
 description: Improve YOLOv5 training with Neptune, a powerful logging tool. Track metrics like images, plots, and epochs for better model performance.
+keywords: Ultralytics, YOLO, Neptune, Callbacks, log scalars, log images, log plots, training, validation
 ---
 
 # _log_scalars
@@ -40,4 +41,4 @@ description: Improve YOLOv5 training with Neptune, a powerful logging tool. Trac
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.neptune.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/raytune.md

@@ -1,8 +1,9 @@
 ---
 description: '"Improve YOLO model performance with on_fit_epoch_end callback. Learn to integrate with Ray Tune for hyperparameter tuning. Ultralytics YOLO docs."'
+keywords: on_fit_epoch_end, Ultralytics YOLO, callback function, training, model tuning
 ---
 
 # on_fit_epoch_end
 ---
 :::ultralytics.yolo.utils.callbacks.raytune.on_fit_epoch_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/tensorboard.md

@@ -1,5 +1,6 @@
 ---
 description: Learn how to monitor the training process with Tensorboard using Ultralytics YOLO's "_log_scalars" and "on_batch_end" methods.
+keywords: TensorBoard callbacks, YOLO training, ultralytics YOLO
 ---
 
 # _log_scalars
@@ -20,4 +21,4 @@ description: Learn how to monitor the training process with Tensorboard using Ul
 # on_fit_epoch_end
 ---
 :::ultralytics.yolo.utils.callbacks.tensorboard.on_fit_epoch_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/wb.md

@@ -1,7 +1,13 @@
 ---
 description: Learn how to use Ultralytics YOLO's built-in callbacks `on_pretrain_routine_start` and `on_train_epoch_end` for improved training performance.
+keywords: Ultralytics, YOLO, callbacks, weights, biases, training
 ---
 
+# _log_plots
+---
+:::ultralytics.yolo.utils.callbacks.wb._log_plots
+<br><br>
+
 # on_pretrain_routine_start
 ---
 :::ultralytics.yolo.utils.callbacks.wb.on_pretrain_routine_start
@@ -20,4 +26,4 @@ description: Learn how to use Ultralytics YOLO's built-in callbacks `on_pretrain
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.wb.on_train_end
-<br><br>
+<br><br>