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ultralytics 8.0.138 update hub/utils.py Events (#3839)

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Glenn Jocher
2023-07-20 01:11:55 +02:00
committed by GitHub
parent 85f191fbc7
commit 796bac229e
3 changed files with 10 additions and 7 deletions
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10
docs/yolov5/tutorials/train_custom_data.md
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@ -30,12 +30,12 @@ Creating a custom model to detect your objects is an iterative process of collec
YOLOv5 models must be trained on labelled data in order to learn classes of objects in that data. There are two options for creating your dataset before you start training:
<details markdown>
<summary>Use <a href="https://roboflow.com/?ref=ultralytics">Roboflow</a> to create your dataset in YOLO format</summary>
<details open markdown>
<summary>Use <a href="https://roboflow.com/?ref=ultralytics">Roboflow</a> to create your dataset in YOLO format 🌟</summary>
!!! warning
!!! note
Roboflow users can use Ultralytics under the [AGPL license](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) or procure an [Enterprise license](https://ultralytics.com/license) directly from Ultralytics. Be aware that Roboflow does **not** provide Ultralytics licenses, and it is the responsibility of the user to ensure appropriate licensing.
Roboflow users can use Ultralytics under the [AGPL license](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) or can request an [Enterprise license](https://ultralytics.com/license) directly from Ultralytics. Be aware that Roboflow does not provide Ultralytics licenses, and it is the responsibility of the user to ensure appropriate licensing.
### 1.1 Collect Images
@ -84,7 +84,7 @@ script or notebook to download your dataset.
Now continue with `2. Select a Model`.
</details>
<details open markdown>
<details markdown>
<summary>Or manually prepare your dataset</summary>
### 1.1 Create dataset.yaml