IntegrationsAdobe StockRoboflow
Adobe Stock + Roboflow

Connect Adobe Stock and Roboflow to Build Intelligent Automations

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Adobe Stock

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Choose an Action

Roboflow

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Enable Integrations or automations with these events of Adobe Stock and Roboflow

Enable Integrations or automations with these events of Adobe Stock and Roboflow

Actions

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Frequently Asked Questions

How do I start an integration between Adobe Stock and Roboflow?

To start, connect both your Adobe Stock and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Adobe Stock triggers actions in Roboflow (or vice versa).

Can we customize how data from Adobe Stock is recorded in Roboflow?

Absolutely. You can customize how Adobe Stock data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Adobe Stock and Roboflow?

The data sync between Adobe Stock and Roboflow typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Adobe Stock to Roboflow?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Adobe Stock and Roboflow?

Yes, you can set conditional logic to control the flow of data between Adobe Stock and Roboflow. 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.

Adobe Stock

About Adobe Stock

Adobe Stock is a stock media service offering high-quality, royalty-free assets like photos, videos, and illustrations, integrated with Adobe Creative Cloud. It provides flexible licensing options, allowing users to easily access and license assets for creative projects.

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Roboflow

About Roboflow

Roboflow is a platform designed to streamline the process of building, training, and deploying computer vision models. It provides tools for managing datasets, annotating images, and integrating machine learning models into applications, making it easier for developers and data scientists to work with visual data.

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