Connect Dubble and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Dubble and Labelf
Enable Integrations or automations with these events of Dubble and Labelf
Triggers
Guide Deleted
Triggers when a guide is deleted.
Guide Added to a Collection
Triggers when a guide is added to a collection.
Guide Removed From Collection
Triggers when a guide is removed from the collection.
Actions
Create Collection
Create a new collection.
Update Collection
Updates a collection.
Delete collection
Delete a collection.
Update Guide
Updates a guide
Delete Guide
Deletes a guide.
Add Guide to collection
Adds a guide to a collection.
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Frequently Asked Questions
To start, connect both your Dubble and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Dubble triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Dubble data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Dubble and Labelf typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Dubble and Labelf. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Dubble
Dubble is a cutting-edge platform designed to enhance team collaboration and productivity. It offers a suite of tools to streamline communication, project management, and task tracking, making it ideal for businesses looking to optimize their workflow.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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