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ultralytics 8.2.2 replace COCO128 with COCO8 (#10167)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-04-18 20:47:21 -07:00 • committed by GitHub
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ultralytics/cfg/models/README.md
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@ -11,7 +11,7 @@ To get started, simply browse through the models in this directory and find one
Model `*.yaml` files may be used directly in the Command Line Interface (CLI) with a `yolo` command:
```bash
yolo task=detect mode=train model=yolov8n.yaml data=coco128.yaml epochs=100
yolo task=detect mode=train model=yolov8n.yaml data=coco8.yaml epochs=100
```
They may also be used directly in a Python environment, and accepts the same [arguments](https://docs.ultralytics.com/usage/cfg/) as in the CLI example above:
@ -22,7 +22,7 @@ from ultralytics import YOLO
model = YOLO("model.yaml") # build a YOLOv8n model from scratch
# YOLO("model.pt") use pre-trained model if available
model.info() # display model information
model.train(data="coco128.yaml", epochs=100) # train the model
model.train(data="coco8.yaml", epochs=100) # train the model
```
## Pre-trained Model Architectures