traing my data

[reza61mahdi]

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hey dear! I am doing research on academic project. by the subject" Evaluation of computer vision percision in dectecting urban vegetation and comparison with SSD ALGORITHM." but I dont have powerful Hardware to train it . google colab has some limitations . If you can train them I will send you them. by the way I have Annotated Them.

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[UltralyticsAssistant]

👋 Hello @reza61mahdi, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more about how HUB can help you with your project:

• Quickstart. Start training and deploying YOLO models with HUB in seconds.
• Datasets: Preparing and Uploading. Learn how to prepare and upload your datasets to HUB in YOLO format.
• Projects: Creating and Managing. Organize your datasets and models efficiently into projects.
• Models: Training and Exporting. Train YOLOv5 and YOLOv8 models on your custom datasets and export them for deployment.
• Integrations. Discover various options to integrate your models with other platforms and tools.
• Inference API. Use the Inference API to run trained models in the cloud and generate predictions.

From your description, it sounds like you have annotated data but lack the computational resources to train the models locally or through Colab due to limitations. Ultralytics HUB might be the perfect solution for you! With HUB, you can train YOLO models on the cloud without requiring powerful hardware. Simply upload your annotated datasets and create a model training project. Check out our Quickstart Guide to get started.

If this is a 🐛 Bug Report, please provide screenshots and steps to reproduce your issue for us to better assist you.
If this is a ❓ Question, please share additional details about your dataset, model requirements, and any specific configurations you're planning to use. This will help both our team and the community provide the most relevant guidance.

This is an automated response to help guide you 🎉. An Ultralytics engineer will review your issue and assist you shortly. Thank you for your patience!

[pderrenger]

@reza61mahdi hi there! 👋 For training your urban vegetation detection model without local hardware, Ultralytics HUB Cloud Training is your solution. Here's how to proceed:

1. Upload Your Dataset to Ultralytics HUB Datasets in YOLO format (images + data.yaml).
2. Create a New Project, select your dataset, and choose a YOLO model (we recommend starting with YOLO11 for detection tasks).
3. Start Cloud Training using our Cloud Training feature (available for Pro users) - no local GPU required!

This approach allows you to:

• Train directly in the cloud with NVIDIA T4 GPUs 🚀
• Monitor training metrics in real-time
• Export models to formats like ONNX/TFLite for inference

For annotation guidance, see our Datasets Documentation. If you encounter any issues, feel free to share specifics about your dataset structure, and we'll help troubleshoot!

P.S. We also offer a Google Colab integration if you prefer that workflow. 😊