Clarify `stream_buffer` argument docs (#16686)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/integrations/vscode.md

@@ -181,7 +181,7 @@ There are over 💯 keyword arguments for all of the various Ultralytics [tasks]
         conf=0.25,  # (float) minimum confidence threshold
         iou=0.7,  # (float) intersection over union (IoU) threshold for NMS
         vid_stride=1,  # (int) video frame-rate stride
-        stream_buffer=False,  # (bool) buffer all streaming frames (True) or return the most recent frame (False)
+        stream_buffer=False,  # (bool) buffer incoming frames in a queue (True) or only keep the most recent frame (False)
         visualize=False,  # (bool) visualize model features
         augment=False,  # (bool) apply image augmentation to prediction sources
         agnostic_nms=False,  # (bool) class-agnostic NMS

docs/en/macros/predict-args.md

@@ -1,5 +1,5 @@
 | Argument        | Type           | Default                | Description                                                                                                                                                                                                                                                                                                    |
-| --------------- | -------------- | ---------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| --------------- | -------------- | ---------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | `source`        | `str`          | `'ultralytics/assets'` | Specifies the data source for inference. Can be an image path, video file, directory, URL, or device ID for live feeds. Supports a wide range of formats and sources, enabling flexible application across [different types of input](/modes/predict.md/#inference-sources).                                   |
 | `conf`          | `float`        | `0.25`                 | Sets the minimum confidence threshold for detections. Objects detected with confidence below this threshold will be disregarded. Adjusting this value can help reduce false positives.                                                                                                                         |
 | `iou`           | `float`        | `0.7`                  | [Intersection Over Union](https://www.ultralytics.com/glossary/intersection-over-union-iou) (IoU) threshold for Non-Maximum Suppression (NMS). Lower values result in fewer detections by eliminating overlapping boxes, useful for reducing duplicates.                                                       |
@@ -8,7 +8,7 @@
 | `device`        | `str`          | `None`                 | Specifies the device for inference (e.g., `cpu`, `cuda:0` or `0`). Allows users to select between CPU, a specific GPU, or other compute devices for model execution.                                                                                                                                           |
 | `max_det`       | `int`          | `300`                  | Maximum number of detections allowed per image. Limits the total number of objects the model can detect in a single inference, preventing excessive outputs in dense scenes.                                                                                                                                   |
 | `vid_stride`    | `int`          | `1`                    | Frame stride for video inputs. Allows skipping frames in videos to speed up processing at the cost of temporal resolution. A value of 1 processes every frame, higher values skip frames.                                                                                                                      |
-| `stream_buffer` | `bool`         | `False`                | Determines the frame processing strategy for video streams. If `False` processing only the most recent frame, minimizing latency (optimized for real-time applications). If `True' processes all frames in order, ensuring no frames are skipped.                            |
+| `stream_buffer` | `bool`         | `False`                | Determines whether to queue incoming frames for video streams. If `False`, old frames get dropped to accomodate new frames (optimized for real-time applications). If `True', queues new frames in a buffer, ensuring no frames get skipped, but will cause latency if inference FPS is lower than stream FPS. |
 | `visualize`     | `bool`         | `False`                | Activates visualization of model features during inference, providing insights into what the model is "seeing". Useful for debugging and model interpretation.                                                                                                                                                 |
 | `augment`       | `bool`         | `False`                | Enables test-time augmentation (TTA) for predictions, potentially improving detection robustness at the cost of inference speed.                                                                                                                                                                               |
 | `agnostic_nms`  | `bool`         | `False`                | Enables class-agnostic Non-Maximum Suppression (NMS), which merges overlapping boxes of different classes. Useful in multi-class detection scenarios where class overlap is common.                                                                                                                            |