Connect Ticketbud and Roboflow to Build Intelligent Automations
Enable Integrations or automations with these events of Ticketbud and Roboflow
Enable Integrations or automations with these events of Ticketbud and Roboflow
Actions
User Info
Get the authenticated user info.
List All Events
Returns the list of all events
Compute CLIP Similarity
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Create Classification Prediction
Generate class predictions for an image.
Run Instance Segmentation
Create instance segmentation predictions (masks and labels) for a given image.
Detect Objects in Image
Detect objects in an image and return their labels and bounding boxes.
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Frequently Asked Questions
To start, connect both your Ticketbud and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Ticketbud triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Ticketbud 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 Ticketbud 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 Ticketbud 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.
About Ticketbud
Ticketbud is a comprehensive event management and ticketing platform that allows users to create, promote, and manage events seamlessly. With features like customizable event pages, secure payment processing, and real-time analytics, Ticketbud simplifies the event planning process for organizers.
Learn MoreAbout Roboflow
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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