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[Moussatassia]

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• I have searched the HUB issues and found no similar feature requests.

Description

Odoo IA

Use case

Dashboard

Additional

Reconnaissance des produits

[UltralyticsAssistant]

👋 Hello @Moussatassia, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

• 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. Group your models into projects for improved organization.
• Models: Training and Exporting. Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
• Integrations. Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
• Ultralytics HUB App. Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
  • iOS. Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
  • Android. Explore TFLite acceleration on mobile devices.
• Inference API. Understand how to use the Inference API for running your trained models in the cloud to generate predictions.

If this is a 🐛 Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix.

If this is a ❓ Question or Feature Request, please provide as much information as possible, including your use case, environment details, and any specific requirements. This will help us better understand your needs and provide the most relevant support.

We try to respond to all issues as promptly as possible. This is an automated response, but an Ultralytics engineer will assist you soon. Thank you for your patience! 😊

[pderrenger]

@Moussatassia thank you for your interest in Ultralytics HUB! For product recognition use cases, we recommend exploring our platform's robust object detection capabilities through these steps:

1. Custom Training: Upload your product dataset to Ultralytics HUB Datasets and train a YOLO model specifically tuned for your products. Our interface supports automatic labeling verification and dataset versioning.

2. Model Deployment: Once trained, export your model to production formats like ONNX or TensorRT through the Models export interface, which can be integrated with external systems.

3. API Integration: Use our Inference API for real-time predictions in your Odoo workflows. The API supports batch processing and returns structured JSON outputs with detection coordinates and confidence scores.

For enterprise-scale deployments requiring direct ERP integrations, we recommend reviewing our Integrations documentation or contacting our enterprise team through the Ultralytics Licensing page for custom solutions.

Would you like more specific guidance on any of these aspects? 🚀