"YOLOv8 may be used directly in the Command Line Interface (CLI) with a `yolo` command. `yolo` can be used for a variety of tasks and modes and accepts additional arguments, i.e. `imgsz=640`. See a full list of available `yolo` [arguments](https://docs.ultralytics.com/config/) in the YOLOv8 [Docs](https://docs.ultralytics.com).\n"
"YOLOv8 may be used directly in the Command Line Interface (CLI) with a `yolo` command for a variety of tasks and modes and accepts additional arguments, i.e. `imgsz=640`. See a full list of available `yolo` [arguments](https://docs.ultralytics.com/config/) in the YOLOv8 [Docs](https://docs.ultralytics.com).\n"
]
]
},
},
{
{
@ -154,7 +155,7 @@
},
},
"source": [
"source": [
"# 2. Val\n",
"# 2. Val\n",
"Validate a model's accuracy on the [COCO](https://cocodataset.org/#home) dataset's `val` or `test` splits. The latest YOLOv8 [models](https://github.com/ultralytics/ultralytics/releases) are downloaded automatically the first time they are used."
"Validate a model's accuracy on the [COCO](https://cocodataset.org/#home) dataset's `val` or `test` splits. The latest YOLOv8 [models](https://github.com/ultralytics/ultralytics#models) are downloaded automatically the first time they are used."
"Train YOLOv8 on detection, segmentation and classification datasets."
"Train YOLOv8 on [Detection](https://docs.ultralytics.com/tasks/detection/), [Segmentation](https://docs.ultralytics.com/tasks/detection/) and [Classification](https://docs.ultralytics.com/tasks/detection/) datasets."
]
]
},
},
{
{
@ -461,20 +462,22 @@
"\n",
"\n",
"Export a YOLOv8 model to any supported format with the `format` argument, i.e. `format=onnx`.\n",
"Export a YOLOv8 model to any supported format with the `format` argument, i.e. `format=onnx`.\n",
"Detection models have no suffix and are the default YOLOv8 models, i.e. `yolov8n.pt`"
"YOLOv8 _detection_ models have no suffix and are the default YOLOv8 models, i.e. `yolov8n.pt` and are pretrained on COCO. See [Detection Docs](https://docs.ultralytics.com/tasks/detection/) for full details.\n"
],
],
"metadata": {
"metadata": {
"id": "yq26lwpYK1lq"
"id": "yq26lwpYK1lq"
@ -591,7 +596,7 @@
"source": [
"source": [
"## 2. Segmentation\n",
"## 2. Segmentation\n",
"\n",
"\n",
"Segmentation models use the `-seg` suffix, i.e. `yolov8n-seg.pt`"
"YOLOv8 _segmentation_ models use the `-seg` suffix, i.e. `yolov8n-seg.pt` and are pretrained on COCO. See [Segmentation Docs](https://docs.ultralytics.com/tasks/segmentation/) for full details.\n"
],
],
"metadata": {
"metadata": {
"id": "7ZW58jUzK66B"
"id": "7ZW58jUzK66B"
@ -618,7 +623,7 @@
"source": [
"source": [
"## 3. Classification\n",
"## 3. Classification\n",
"\n",
"\n",
"Classification models use the `-cls` suffix, i.e. `yolov8n-cls.pt`"
"YOLOv8 _classification_ models use the `-cls` suffix, i.e. `yolov8n-cls.pt` and are pretrained on ImageNet. See [Classification Docs](https://docs.ultralytics.com/tasks/detection/) for full details.\n"
Glenn Jocher
2 years ago