📚 Rosepetal Platform Documentation
Main Index
Welcome to the Rosepetal Platform documentation — the intelligent industrial visual-inspection solution. From this page, you can access both the Quick Guides and the Full User Manual.
⚡ Quick Guides
The Quick Guides are fast, practical, and focused on specific tasks. They are ideal for new users or whenever you need a quick, visual walkthrough.
📁 Platform UI – Datasets
Create and Configure a Dataset in Rosepetal Create a new dataset, name it, and choose the correct type (classification, anomaly detection, object detection, segmentation).
Import Dataset Using Rosepetal Application Import files or folders to create and populate new datasets.
Export Dataset Efficiently Using Rosepetal Application Export full datasets or selected images from the application.
Delete Dataset Efficiently in Rosepetal Application Learn how to safely delete a dataset by confirming its identity before removal.
Manage Labeling Tags Efficiently in Rosepetal Create, edit, merge, and delete labeling tags to organize your datasets.
🏷️ Platform UI – Labeling
Manual Classification Labeling in Rosepetal Create tags and assign them to images for efficient dataset annotation.
Manually Label Object Detection Dataset with Bounding Boxes Create labeling tags, draw bounding boxes, and annotate datasets manually.
Manual Segmentation Labeling in Rosepetal Learn brush, polygon, and eraser tools for precise pixel-by-pixel object annotation.
🤖 Platform UI – Models
- Validate AI Model Inferences in Rosepetal Configure confidence thresholds, map classes, and auto-annotate datasets with production models.
🔧 Flows & Panels
Introduction to NodeRED for Visual Inspection Flows Learn the basics of NodeRED and how to create visual inspection workflows.
Connect and Configure Camera Nodes for Image Capture Learn how to connect, configure, and trigger industrial cameras.
Configure Image Injection, Resize, and Rotation Nodes Learn how to inject, resize, and rotate images inside a flow.
Using From-Dataset Node for Image Injection Learn how to inject images from datasets into flows with different fetch modes.
Using Inferencer Node for AI Model Integration Configure and use the inferencer node to run AI models in your flows.