
When this happens...

Automatically do this!
Create Task
Create Project
Create Customer
Modify Time-Track
Find Customer
Find Project
Find Task
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new task created.
Triggers when an existing task updated.
Triggers when an existing task deleted.
Triggers when a new project created.
Triggers when an existing poject update.
Triggers when an existing poject delete.
Action is the task that follows automatically within your Roboflow integrations.
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Generate class predictions for an image.
Create instance segmentation predictions (masks and labels) for a given image.
Detect objects in an image and return their labels and bounding boxes.
Create a new task in actiTIME for a selected project, with optional description, deadline, estimate, and type of work.
Creates a new project in actiTIME for a selected customer, with an optional description.

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To start, connect both your Roboflow and actiTIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Roboflow triggers actions in actiTIME (or vice versa).
Absolutely. You can customize how Roboflow data is recorded in actiTIME. This includes choosing which data fields go into which fields of actiTIME, setting up custom formats, and filtering out unwanted information.
The data sync between Roboflow and actiTIME 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 Roboflow and actiTIME. 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.
Roboflow 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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