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Annotation Tool with Synthetic Variant Generation for Vision Data

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Annotation Tool with Synthetic Variant Generation for Vision Data -1

Service description

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.
Forventede resultater:

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.

Metodologi:

The service is delivered as a structured test and demonstration process executed in DTI VisionLab AI testbed environment. It includes setup of an industrial inspection workflow, hands on testing of prompt based labeling algorithms, validation of synthetic image synthesis under varied lighting and angle conditions, evaluation of versioning pipelines, and delivery of documented recommendations for AI pipeline integration.

Mål:

Fremstillingsindustrien, Machine vision, Kvalitetskontrol og inspektion, AI-dataklargøring, Industriel software og digital engineering

  • Organization: DTI
  • Type: Test
  • SUT/E: Annotation tools for vision datasets with drawing and prompt based labeling, dataset versioning, and automatic synthetic variant generation for AI training and validation. Customers must provide sample industrial 2D image sets in PNG or JPEG format (minimum 50 to 100 sample images) representing relevant defect types or production parts, along with descriptions of target classes and lighting variations to be synthesized.
  • Average duration: 1-8 hours
  • Contact us: thkr@teknologisk.dk

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