YOLO11 Tasks, Modes, Usage, Macros and Solutions Updates (#16593)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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@ -14,7 +14,7 @@ YOLO settings and hyperparameters play a critical role in the model's performanc
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> Mastering Ultralytics YOLOv8: Configuration
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<strong>Watch:</strong> Mastering Ultralytics YOLO: Configuration
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</p>
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Ultralytics commands use the following syntax:
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@ -32,8 +32,8 @@ Ultralytics commands use the following syntax:
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```python
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from ultralytics import YOLO
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# Load a YOLOv8 model from a pre-trained weights file
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model = YOLO("yolov8n.pt")
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# Load a YOLO11 model from a pre-trained weights file
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model = YOLO("yolo11n.pt")
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# Run MODE mode using the custom arguments ARGS (guess TASK)
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model.MODE(ARGS)
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@ -67,12 +67,12 @@ YOLO models can be used for a variety of tasks, including detection, segmentatio
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YOLO models can be used in different modes depending on the specific problem you are trying to solve. These modes include:
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- **Train**: For training a YOLOv8 model on a custom dataset.
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- **Val**: For validating a YOLOv8 model after it has been trained.
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- **Predict**: For making predictions using a trained YOLOv8 model on new images or videos.
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- **Export**: For exporting a YOLOv8 model to a format that can be used for deployment.
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- **Track**: For tracking objects in real-time using a YOLOv8 model.
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- **Benchmark**: For benchmarking YOLOv8 exports (ONNX, TensorRT, etc.) speed and accuracy.
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- **Train**: For training a YOLO11 model on a custom dataset.
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- **Val**: For validating a YOLO11 model after it has been trained.
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- **Predict**: For making predictions using a trained YOLO11 model on new images or videos.
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- **Export**: For exporting a YOLO11 model to a format that can be used for deployment.
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- **Track**: For tracking objects in real-time using a YOLO11 model.
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- **Benchmark**: For benchmarking YOLO11 exports (ONNX, TensorRT, etc.) speed and accuracy.
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| Argument | Default | Description |
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| -------- | --------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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