From f2f81aa5e8bc41d8d43d233c9d79f3a922c5e0f0 Mon Sep 17 00:00:00 2001 From: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com> Date: Fri, 8 Nov 2024 17:19:17 +0800 Subject: [PATCH] Update validation-args.md (#17411) Co-authored-by: UltralyticsAssistant Co-authored-by: Glenn Jocher --- docs/en/macros/validation-args.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/macros/validation-args.md b/docs/en/macros/validation-args.md index 5eeea81f..c28a8e47 100644 --- a/docs/en/macros/validation-args.md +++ b/docs/en/macros/validation-args.md @@ -12,7 +12,7 @@ | `device` | `str` | `None` | Specifies the device for validation (`cpu`, `cuda:0`, etc.). Allows flexibility in utilizing CPU or GPU resources. | | `dnn` | `bool` | `False` | If `True`, uses the [OpenCV](https://www.ultralytics.com/glossary/opencv) DNN module for ONNX model inference, offering an alternative to [PyTorch](https://www.ultralytics.com/glossary/pytorch) inference methods. | | `plots` | `bool` | `False` | When set to `True`, generates and saves plots of predictions versus ground truth for visual evaluation of the model's performance. | -| `rect` | `bool` | `False` | If `True`, uses rectangular inference for batching, reducing padding and potentially increasing speed and efficiency. | +| `rect` | `bool` | `True` | If `True`, uses rectangular inference for batching, reducing padding and potentially increasing speed and efficiency. | | `split` | `str` | `val` | Determines the dataset split to use for validation (`val`, `test`, or `train`). Allows flexibility in choosing the data segment for performance evaluation. | | `project` | `str` | `None` | Name of the project directory where validation outputs are saved. | | `name` | `str` | `None` | Name of the validation run. Used for creating a subdirectory within the project folder, where valdiation logs and outputs are stored. |