Comet ML Docs - Fix link, naming and formatting (#16941)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
parent
a622b404ef
commit
f87b92dbc3
1 changed files with 12 additions and 8 deletions
|
|
@ -50,17 +50,21 @@ After installing the required packages, you'll need to sign up, get a [Comet API
|
|||
|
||||
Then, you can initialize your Comet project. Comet will automatically detect the API key and proceed with the setup.
|
||||
|
||||
```python
|
||||
import comet_ml
|
||||
!!! example "Initialize Comet project"
|
||||
|
||||
comet_ml.login(project_name="comet-example-yolov8-coco128")
|
||||
```
|
||||
=== "Python"
|
||||
|
||||
```python
|
||||
import comet_ml
|
||||
|
||||
comet_ml.login(project_name="comet-example-yolo11-coco128")
|
||||
```
|
||||
|
||||
If you are using a Google Colab notebook, the code above will prompt you to enter your API key for initialization.
|
||||
|
||||
## Usage
|
||||
|
||||
Before diving into the usage instructions, be sure to check out the range of [YOLO11 models offered by Ultralytics](../models/index.md). This will help you choose the most appropriate model for your project requirements.
|
||||
Before diving into the usage instructions, be sure to check out the range of [YOLO11 models offered by Ultralytics](../models/yolo11.md). This will help you choose the most appropriate model for your project requirements.
|
||||
|
||||
!!! example "Usage"
|
||||
|
||||
|
|
@ -75,7 +79,7 @@ Before diving into the usage instructions, be sure to check out the range of [YO
|
|||
# Train the model
|
||||
results = model.train(
|
||||
data="coco8.yaml",
|
||||
project="comet-example-yolov8-coco128",
|
||||
project="comet-example-yolo11-coco128",
|
||||
batch=32,
|
||||
save_period=1,
|
||||
save_json=True,
|
||||
|
|
@ -200,7 +204,7 @@ To integrate Comet ML with Ultralytics YOLO11, follow these steps:
|
|||
```python
|
||||
import comet_ml
|
||||
|
||||
comet_ml.login(project_name="comet-example-yolov8-coco128")
|
||||
comet_ml.login(project_name="comet-example-yolo11-coco128")
|
||||
```
|
||||
|
||||
4. **Train your YOLO11 model and log metrics**:
|
||||
|
|
@ -211,7 +215,7 @@ To integrate Comet ML with Ultralytics YOLO11, follow these steps:
|
|||
model = YOLO("yolo11n.pt")
|
||||
results = model.train(
|
||||
data="coco8.yaml",
|
||||
project="comet-example-yolov8-coco128",
|
||||
project="comet-example-yolo11-coco128",
|
||||
batch=32,
|
||||
save_period=1,
|
||||
save_json=True,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue