ultralytics / ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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yolov8n's coco pre-training? #12777

Open HuKai97 opened 2 weeks ago

HuKai97 commented 2 weeks ago

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Question

Can you send me a copy of the training parameter configuration of yolov8n's coco pre-training?

Additional

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github-actions[bot] commented 2 weeks ago

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Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

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glenn-jocher commented 1 week ago

Hello! 👋

For the YOLOv8n model pre-trained on the COCO dataset, you can find the training parameter configuration in the coco.yaml file. Here's a quick example of how you might load and train the model using this configuration:

from ultralytics import YOLO

# Load a pretrained YOLOv8n model
model = YOLO('yolov8n.pt')

# Train the model with COCO dataset configuration
results = model.train(data='coco.yaml', epochs=100, imgsz=640)

This will train the model for 100 epochs with an image size of 640. You can adjust the epochs and imgsz as needed for your specific requirements.

If you need the exact configuration file, it's typically located in the data directory of the repository or can be specified directly in your training script as shown above.

Hope this helps! Let me know if you have any more questions. 😊