We demonstrate and evaluate an AI assisted data annotation and augmentation platform for industrial machine vision. The tool streamlines visual dataset preparation using interactive bounding box drawing, prompt based segmentation, automated dataset version control, and photorealistic synthetic image generation. This accelerates AI model training for manufacturing quality inspection, surface defect detection, and robotic sorting by up to 70 percent while eliminating costly manual labeling bottlenecks.
A documented demonstration of the annotation tool, including evaluation of annotation functionality, dataset management, and synthetic data generation capabilities, with recommendations for further application in AI based vision workflows. This accelerates model training preparation time by up to 60 percent and cuts data collection costs substantially, proven in manufacturing use cases to successfully expand limited defect datasets into robust training pipelines.
The service is delivered as a test and demonstration process including presentation of the annotation workflow, testing of drawing-based and prompt-based annotation functions, evaluation of dataset versioning and synthetic variant generation features, and delivery of documented observations and recommendations for further use in vision data preparation.
Fremstillingsindustrien, Machine vision, Kvalitetskontrol og inspektion, AI-dataklargøring, Industriel software og digital engineering