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Docs update for new YOLOv5 URLs #11409

Merged
merged 12 commits into from
Apr 21, 2023
12 changes: 6 additions & 6 deletions .github/workflows/greetings.yml
Original file line number Diff line number Diff line change
Expand Up @@ -23,11 +23,11 @@ jobs:
- โœ… Reduce changes to the absolute **minimum** required for your bug fix or feature addition. _"It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is."_ โ€” Bruce Lee

issue-message: |
๐Ÿ‘‹ Hello @${{ github.actor }}, thank you for your interest in YOLOv5 ๐Ÿš€! Please visit our โญ๏ธ [Tutorials](https://docs.ultralytics.com/yolov5/#tutorials) to get started, where you can find quickstart guides for simple tasks like [Custom Data Training](https://docs.ultralytics.com/yolov5/train_custom_data/) all the way to advanced concepts like [Hyperparameter Evolution](https://docs.ultralytics.com/yolov5/hyp_evolution/).
๐Ÿ‘‹ Hello @${{ github.actor }}, thank you for your interest in YOLOv5 ๐Ÿš€! Please visit our โญ๏ธ [Tutorials](https://docs.ultralytics.com/yolov5/) to get started, where you can find quickstart guides for simple tasks like [Custom Data Training](https://docs.ultralytics.com/yolov5/tutorials/train_custom_data/) all the way to advanced concepts like [Hyperparameter Evolution](https://docs.ultralytics.com/yolov5/tutorials/hyperparameter_evolution/).

If this is a ๐Ÿ› Bug Report, please provide a **minimum reproducible example** to help us debug it.

If this is a custom training โ“ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our [Tips for Best Training Results](https://github.com/ultralytics/yolov5/wiki/Tips-for-Best-Training-Results).
If this is a custom training โ“ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our [Tips for Best Training Results](https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/).

## Requirements

Expand All @@ -43,15 +43,15 @@ jobs:
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):

- **Notebooks** with free GPU: <a href="https://bit.ly/yolov5-paperspace-notebook"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"></a> <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
- **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart)
- **Amazon** Deep Learning AMI. See [AWS Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart)
- **Docker Image**. See [Docker Quickstart Guide](https://github.com/ultralytics/yolov5/wiki/Docker-Quickstart) <a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>
- **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/)
- **Amazon** Deep Learning AMI. See [AWS Quickstart Guide](https://docs.ultralytics.com/aws_quickstart_tutorial/)
- **Docker Image**. See [Docker Quickstart Guide](https://docs.ultralytics.com/yolov5/environments/docker_image_quickstart_tutorial/) <a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>

## Status

<a href="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml/badge.svg" alt="YOLOv5 CI"></a>

If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 [training](https://github.com/ultralytics/yolov5/blob/master/train.py), [validation](https://github.com/ultralytics/yolov5/blob/master/val.py), [inference](https://github.com/ultralytics/yolov5/blob/master/detect.py), [export](https://github.com/ultralytics/yolov5/blob/master/export.py) and [benchmarks](https://github.com/ultralytics/yolov5/blob/master/benchmarks.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 [training](https://github.com/ultralytics/yolov5/blob/master/train.py), [validation](https://github.com/ultralytics/yolov5/blob/master/val.py), [inference](https://github.com/ultralytics/yolov5/blob/master/detect.py), [export](https://github.com/ultralytics/yolov5/blob/master/export.py) and [benchmarks](https://github.com/ultralytics/yolov5/blob/master/benchmarks.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit.

## Introducing YOLOv8 ๐Ÿš€

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38 changes: 38 additions & 0 deletions .github/workflows/links.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,38 @@
# Ultralytics YOLO ๐Ÿš€, AGPL-3.0 license
# YOLO Continuous Integration (CI) GitHub Actions tests

name: Check Broken links

on:
push:
branches: [master]
pull_request:
branches: [master]
workflow_dispatch:
schedule:
- cron: '0 0 * * *' # runs at 00:00 UTC every day

jobs:
Links:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3

- name: Test Markdown and HTML links
uses: lycheeverse/lychee-action@v1.6.1
with:
fail: true
# accept 429(Instagram, 'too many requests'), 999(LinkedIn, 'unknown status code'), Timeout(Twitter)
args: --accept 429,999 --exclude-loopback --exclude twitter.com --exclude-mail './**/*.md' './**/*.html'
env:
GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}

- name: Test Markdown, HTML, YAML, Python and Notebook links
if: github.event_name == 'workflow_dispatch'
uses: lycheeverse/lychee-action@v1.6.1
with:
fail: true
# accept 429(Instagram, 'too many requests'), 999(LinkedIn, 'unknown status code'), Timeout(Twitter)
args: --accept 429,999 --exclude-loopback --exclude twitter.com,url.com --exclude-mail './**/*.md' './**/*.html' './**/*.yml' './**/*.yaml' './**/*.py' './**/*.ipynb'
env:
GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
33 changes: 20 additions & 13 deletions .github/workflows/stale.yml
Original file line number Diff line number Diff line change
Expand Up @@ -12,26 +12,33 @@ jobs:
- uses: actions/stale@v8
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}

stale-issue-message: |
๐Ÿ‘‹ Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.
๐Ÿ‘‹ Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

Access additional [YOLOv5](https://ultralytics.com/yolov5) ๐Ÿš€ resources:
- **Wiki** โ€“ https://github.com/ultralytics/yolov5/wiki
- **Tutorials** โ€“ https://github.com/ultralytics/yolov5#tutorials
- **Docs** โ€“ https://docs.ultralytics.com
For additional resources and information, please see the links below:

Access additional [Ultralytics](https://ultralytics.com) โšก resources:
- **Ultralytics HUB** โ€“ https://ultralytics.com/hub
- **Vision API** โ€“ https://ultralytics.com/yolov5
- **About Us** โ€“ https://ultralytics.com/about
- **Join Our Team** โ€“ https://ultralytics.com/work
- **Contact Us** โ€“ https://ultralytics.com/contact
- **Docs**: https://docs.ultralytics.com
- **HUB**: https://hub.ultralytics.com
- **Community**: https://community.ultralytics.com

Feel free to inform us of any other **issues** you discover or **feature requests** that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 ๐Ÿš€ and Vision AI โญ!
Thank you for your contributions to YOLO ๐Ÿš€ and Vision AI โญ

stale-pr-message: |
๐Ÿ‘‹ Hello there! We wanted to let you know that we've decided to close this pull request due to inactivity. We appreciate the effort you put into contributing to our project, but unfortunately, not all contributions are suitable or aligned with our product roadmap.

We hope you understand our decision, and please don't let it discourage you from contributing to open source projects in the future. We value all of our community members and their contributions, and we encourage you to keep exploring new projects and ways to get involved.

For additional resources and information, please see the links below:

- **Docs**: https://docs.ultralytics.com
- **HUB**: https://hub.ultralytics.com
- **Community**: https://community.ultralytics.com

Thank you for your contributions to YOLO ๐Ÿš€ and Vision AI โญ

stale-pr-message: 'This pull request has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions YOLOv5 ๐Ÿš€ and Vision AI โญ.'
days-before-issue-stale: 30
days-before-issue-close: 10
days-before-pr-stale: 90
Expand Down
36 changes: 18 additions & 18 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -153,22 +153,22 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml -
<details open>
<summary>Tutorials</summary>

- [Train Custom Data](https://docs.ultralytics.com/yolov5/train_custom_data) ๐Ÿš€ RECOMMENDED
- [Tips for Best Training Results](https://docs.ultralytics.com/yolov5/tips_for_best_training_results) โ˜˜๏ธ RECOMMENDED
- [Multi-GPU Training](https://docs.ultralytics.com/yolov5/multi_gpu_training)
- [PyTorch Hub](https://docs.ultralytics.com/yolov5/pytorch_hub) ๐ŸŒŸ NEW
- [TFLite, ONNX, CoreML, TensorRT Export](https://docs.ultralytics.com/yolov5/export) ๐Ÿš€
- [NVIDIA Jetson platform Deployment](https://docs.ultralytics.com/yolov5/jetson_nano) ๐ŸŒŸ NEW
- [Test-Time Augmentation (TTA)](https://docs.ultralytics.com/yolov5/tta)
- [Model Ensembling](https://docs.ultralytics.com/yolov5/ensemble)
- [Model Pruning/Sparsity](https://docs.ultralytics.com/yolov5/pruning_sparsity)
- [Hyperparameter Evolution](https://docs.ultralytics.com/yolov5/hyp_evolution)
- [Transfer Learning with Frozen Layers](https://docs.ultralytics.com/yolov5/transfer_learn_frozen)
- [Architecture Summary](https://docs.ultralytics.com/yolov5/architecture) ๐ŸŒŸ NEW
- [Roboflow for Datasets](https://docs.ultralytics.com/yolov5/roboflow)
- [ClearML Logging](https://docs.ultralytics.com/yolov5/clearml) ๐ŸŒŸ NEW
- [YOLOv5 with Neural Magic's Deepsparse](https://docs.ultralytics.com/yolov5/neural_magic) ๐ŸŒŸ NEW
- [Comet Logging](https://docs.ultralytics.com/yolov5/comet) ๐ŸŒŸ NEW
- [Train Custom Data](https://docs.ultralytics.com/yolov5/tutorials/train_custom_data) ๐Ÿš€ RECOMMENDED
- [Tips for Best Training Results](https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results) โ˜˜๏ธ
- [Multi-GPU Training](https://docs.ultralytics.com/yolov5/tutorials/multi_gpu_training)
- [PyTorch Hub](https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading) ๐ŸŒŸ NEW
- [TFLite, ONNX, CoreML, TensorRT Export](https://docs.ultralytics.com/yolov5/tutorials/model_export) ๐Ÿš€
- [NVIDIA Jetson platform Deployment](https://docs.ultralytics.com/yolov5/tutorials/running_on_jetson_nano) ๐ŸŒŸ NEW
- [Test-Time Augmentation (TTA)](https://docs.ultralytics.com/yolov5/tutorials/test_time_augmentation)
- [Model Ensembling](https://docs.ultralytics.com/yolov5/tutorials/model_ensembling)
- [Model Pruning/Sparsity](https://docs.ultralytics.com/yolov5/tutorials/model_pruning_and_sparsity)
- [Hyperparameter Evolution](https://docs.ultralytics.com/yolov5/tutorials/hyperparameter_evolution)
- [Transfer Learning with Frozen Layers](https://docs.ultralytics.com/yolov5/tutorials/transfer_learning_with_frozen_layers)
- [Architecture Summary](https://docs.ultralytics.com/yolov5/tutorials/architecture_description) ๐ŸŒŸ NEW
- [Roboflow for Datasets, Labeling, and Active Learning](https://docs.ultralytics.com/yolov5/tutorials/roboflow_datasets_integration)
- [ClearML Logging](https://docs.ultralytics.com/yolov5/tutorials/clearml_logging_integration) ๐ŸŒŸ NEW
- [YOLOv5 with Neural Magic's Deepsparse](https://docs.ultralytics.com/yolov5/tutorials/neural_magic_pruning_quantization) ๐ŸŒŸ NEW
- [Comet Logging](https://docs.ultralytics.com/yolov5/tutorials/comet_logging_integration) ๐ŸŒŸ NEW

</details>

Expand Down Expand Up @@ -436,10 +436,10 @@ Get started in seconds with our verified environments. Click each icon below for
<a href="https://hub.docker.com/r/ultralytics/yolov5">
<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-docker-small.png" width="10%" /></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
<a href="https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart">
<a href="https://docs.ultralytics.com/yolov5/environments/aws_quickstart_tutorial/">
<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-aws-small.png" width="10%" /></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
<a href="https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart">
<a href="https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/">
<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gcp-small.png" width="10%" /></a>
</div>

Expand Down
38 changes: 19 additions & 19 deletions README.zh-CN.md
Original file line number Diff line number Diff line change
Expand Up @@ -147,22 +147,22 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml -
<details open>
<summary>ๆ•™็จ‹</summary>

- [่ฎญ็ปƒ่‡ชๅฎšไน‰ๆ•ฐๆฎ](https://docs.ultralytics.com/yolov5/train_custom_data) ๐Ÿš€ ๆŽจ่
- [่Žทๅพ—ๆœ€ไฝณ่ฎญ็ปƒ็ป“ๆžœ็š„ๆŠ€ๅทง](https://docs.ultralytics.com/yolov5/tips_for_best_training_results) โ˜˜๏ธ ๆŽจ่
- [ๅคš GPU ่ฎญ็ปƒ](https://docs.ultralytics.com/yolov5/multi_gpu_training)
- [PyTorch Hub](https://docs.ultralytics.com/yolov5/pytorch_hub) ๐ŸŒŸ ๆ–ฐ
- [TFLite, ONNX, CoreML, TensorRT ๅฏผๅ‡บ](https://docs.ultralytics.com/yolov5/export) ๐Ÿš€
- [NVIDIA Jetson ๅนณๅฐ้ƒจ็ฝฒ](https://docs.ultralytics.com/yolov5/jetson_nano) ๐ŸŒŸ ๆ–ฐ
- [ๆต‹่ฏ•ๆ—ถๅขžๅผบ๏ผˆTTA๏ผ‰](https://docs.ultralytics.com/yolov5/tta)
- [ๆจกๅž‹้›†ๆˆ](https://docs.ultralytics.com/yolov5/ensemble)
- [ๆจกๅž‹ๅ‰ชๆž/็จ€็–ๆ€ง](https://docs.ultralytics.com/yolov5/pruning_sparsity)
- [่ถ…ๅ‚ๆ•ฐ่ฟ›ๅŒ–](https://docs.ultralytics.com/yolov5/hyp_evolution)
- [ๅ†ป็ป“ๅฑ‚็š„่ฟ็งปๅญฆไน ](https://docs.ultralytics.com/yolov5/transfer_learn_frozen)
- [ๆžถๆž„ๆฆ‚่ฟฐ](https://docs.ultralytics.com/yolov5/architecture) ๐ŸŒŸ ๆ–ฐ
- [Roboflow](https://docs.ultralytics.com/yolov5/roboflow)
- [ClearML ๆ—ฅๅฟ—่ฎฐๅฝ•](https://docs.ultralytics.com/yolov5/clearml) ๐ŸŒŸ ๆ–ฐ
- [YOLOv5 ไธŽ Neural Magic ็š„ Deepsparse](https://docs.ultralytics.com/yolov5/neural_magic) ๐ŸŒŸ ๆ–ฐ
- [Comet ๆ—ฅๅฟ—่ฎฐๅฝ•](https://docs.ultralytics.com/yolov5/comet) ๐ŸŒŸ ๆ–ฐ
- [่ฎญ็ปƒ่‡ชๅฎšไน‰ๆ•ฐๆฎ](https://docs.ultralytics.com/yolov5/tutorials/train_custom_data) ๐Ÿš€ ๆŽจ่
- [่Žทๅพ—ๆœ€ไฝณ่ฎญ็ปƒ็ป“ๆžœ็š„ๆŠ€ๅทง](https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results) โ˜˜๏ธ
- [ๅคšGPU่ฎญ็ปƒ](https://docs.ultralytics.com/yolov5/tutorials/multi_gpu_training)
- [PyTorch Hub](https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading) ๐ŸŒŸ ๆ–ฐ
- [TFLite๏ผŒONNX๏ผŒCoreML๏ผŒTensorRTๅฏผๅ‡บ](https://docs.ultralytics.com/yolov5/tutorials/model_export) ๐Ÿš€
- [NVIDIA Jetsonๅนณๅฐ้ƒจ็ฝฒ](https://docs.ultralytics.com/yolov5/tutorials/running_on_jetson_nano) ๐ŸŒŸ ๆ–ฐ
- [ๆต‹่ฏ•ๆ—ถๅขžๅผบ (TTA)](https://docs.ultralytics.com/yolov5/tutorials/test_time_augmentation)
- [ๆจกๅž‹้›†ๆˆ](https://docs.ultralytics.com/yolov5/tutorials/model_ensembling)
- [ๆจกๅž‹ๅ‰ชๆž/็จ€็–](https://docs.ultralytics.com/yolov5/tutorials/model_pruning_and_sparsity)
- [่ถ…ๅ‚ๆ•ฐ่ฟ›ๅŒ–](https://docs.ultralytics.com/yolov5/tutorials/hyperparameter_evolution)
- [ๅ†ป็ป“ๅฑ‚็š„่ฟ็งปๅญฆไน ](https://docs.ultralytics.com/yolov5/tutorials/transfer_learning_with_frozen_layers)
- [ๆžถๆž„ๆฆ‚่ฟฐ](https://docs.ultralytics.com/yolov5/tutorials/architecture_description) ๐ŸŒŸ ๆ–ฐ
- [Roboflow็”จไบŽๆ•ฐๆฎ้›†ใ€ๆ ‡ๆณจๅ’ŒไธปๅŠจๅญฆไน ](https://docs.ultralytics.com/yolov5/tutorials/roboflow_datasets_integration)
- [ClearMLๆ—ฅๅฟ—่ฎฐๅฝ•](https://docs.ultralytics.com/yolov5/tutorials/clearml_logging_integration) ๐ŸŒŸ ๆ–ฐ
- [ไฝฟ็”จNeural Magic็š„Deepsparse็š„YOLOv5](https://docs.ultralytics.com/yolov5/tutorials/neural_magic_pruning_quantization) ๐ŸŒŸ ๆ–ฐ
- [Cometๆ—ฅๅฟ—่ฎฐๅฝ•](https://docs.ultralytics.com/yolov5/tutorials/comet_logging_integration) ๐ŸŒŸ ๆ–ฐ

</details>

Expand Down Expand Up @@ -431,10 +431,10 @@ python export.py --weights yolov5s-cls.pt resnet50.pt efficientnet_b0.pt --inclu
<a href="https://hub.docker.com/r/ultralytics/yolov5">
<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-docker-small.png" width="10%" /></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
<a href="https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart">
<a href="https://docs.ultralytics.com/yolov5/environments/aws_quickstart_tutorial/">
<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-aws-small.png" width="10%" /></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
<a href="https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart">
<a href="https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/">
<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gcp-small.png" width="10%" /></a>
</div>

Expand All @@ -456,7 +456,7 @@ YOLOv5 ๅœจไธค็งไธๅŒ็š„ License ไธ‹ๅฏ็”จ๏ผš

## <div align="center">่”็ณปๆˆ‘ไปฌ</div>

่ฏท่ฎฟ้—ฎ [GitHub Issues](https://github.com/ultralytics/yolov5/issues) ๆˆ– [Ultralytics Community Forum](https://community.ultralytis.com) ไปฅๆŠฅๅ‘Š YOLOv5 ้”™่ฏฏๅ’Œ่ฏทๆฑ‚ๅŠŸ่ƒฝใ€‚
่ฏท่ฎฟ้—ฎ [GitHub Issues](https://github.com/ultralytics/yolov5/issues) ๆˆ– [Ultralytics Community Forum](https://community.ultralytics.com) ไปฅๆŠฅๅ‘Š YOLOv5 ้”™่ฏฏๅ’Œ่ฏทๆฑ‚ๅŠŸ่ƒฝใ€‚

<br>
<div align="center">
Expand Down
2 changes: 1 addition & 1 deletion utils/loggers/comet/README.md
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Expand Up @@ -164,7 +164,7 @@ env COMET_LOG_PER_CLASS_METRICS=true python train.py \

If you would like to store your data using [Comet Artifacts](https://www.comet.com/docs/v2/guides/data-management/using-artifacts/#learn-more?utm_source=yolov5&utm_medium=partner&utm_campaign=partner_yolov5_2022&utm_content=github), you can do so using the `upload_dataset` flag.

The dataset be organized in the way described in the [YOLOv5 documentation](https://docs.ultralytics.com/tutorials/train-custom-datasets/#3-organize-directories). The dataset config `yaml` file must follow the same format as that of the `coco128.yaml` file.
The dataset be organized in the way described in the [YOLOv5 documentation](https://docs.ultralytics.com/yolov5/tutorials/train_custom_data/). The dataset config `yaml` file must follow the same format as that of the `coco128.yaml` file.

```shell
python train.py \
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