When this happens...

Automatically do this!
Compare Image With Text
Create Classification Prediction
Run Instance Segmentation
Detect Objects In Image
Enable Integrations or automations with these events of Memory and Roboflow
Add a new record to Memory or update an existing one.
Find items by ID or matching fields.
Modify specific records using the Update by ID action. This allows you to directly update a particular entry in your MongoDB storage by its unique identifier, ensuring precise changes to your stored data.
Delete one or more records from your Workspace Memory. You can delete by a specific Record ID, filter records using query conditions, or clear all records at once.
Get documents from Memory.
Memory is available across the workspace in any flow.
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To start, connect both your Memory and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Memory triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Memory 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.
The data sync between Memory and Roboflow 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 Memory 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.
A seamless, secure vault for your crucial data. The "Memory" integration offers MongoDB-based storage, enabling Create, Read, Update, and Delete operations. Effortlessly manage and safeguard your data within your automation flows, ensuring easy access and precise control throughout the process.
Learn MoreRoboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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