My Models

The My Models page in DeepLobe is a centralized hub that displays a list of all the models you have created or are currently working on. It provides you with an organized overview of your models, allowing you to manage and interact with them efficiently. Here are the key features and actions available on the My Models page:

Model List

The page displays a list of your models, including their names, creation dates, and status.
The status of a model indicates whether it is ready for use, requires retraining, or is undergoing training.
You can easily locate and identify your models based on their names and creation dates.

Actions

• Testing: You can test the performance of your models directly from the My Models page. This enables you to evaluate their accuracy and effectiveness by uploading sample data or real-world images for inference.
• Retraining: If you wish to improve the performance of your models, you have the option to initiate the retraining process. By adding more data or updating existing training data, you can enhance the capabilities and accuracy of your models.
• Deletion: If you no longer require a particular model, you can delete it from the My Models page. Please note that this action is irreversible, and all associated data and configurations will be permanently removed.

API Integration

Each model listed on the My Models page has its own unique API. This API allows you to seamlessly integrate the model into your applications, software, or systems.
To use the API, simply copy the API endpoint provided for each model and paste it into your code where the model's predictions are needed.

Additionally, an API key is required for authentication and access to the model's functionality. You can generate the API key from the "APIs" section and replace the placeholder variable in your code with the actual API key.

The My Models page serves as a convenient control center for managing and utilizing your trained models. It enables you to monitor their status, perform necessary actions such as testing and retraining, and access the API endpoints for integration.