Core Workflows
Defect Generation
Synthesize realistic, localized surface defects (scratches, dents, tears, wrinkles) onto defect-free (
OK) part images with automatic COCO masks and 2D bounding boxes.Variation Generator
Transform object colors, surface materials, and lighting in close-up photos while preserving existing geometry, corner wear, and surface defects.
Sim-to-Real & Real-to-Real
Generate photorealistic weather, time-of-day, and environmental variations across synthetic simulation images or real-world datasets while preserving 2D/3D ground truth.
Quality Evaluation & Review
Inspect automated rubric scores, approve or reject generated samples, and regenerate individual images in-place.
Who Repli5 Is For
Repli5 is built for ML Engineers and Computer Vision teams who have outgrown the limitations of manual data collection and human labeling:- Quality Inspection & Manufacturing Teams: Synthesizing balanced defect datasets with pixel-accurate COCO segmentation masks and bounding boxes.
- Perception Engineers: Building high-fidelity datasets for classification, segmentation, and 2D/3D detection.
- Simulation Specialists: Bridging the Sim-to-Real gap (transforming simulation images into photorealistic training assets).
- Enterprise AI Teams: Scaling edge-case scenarios while maintaining full ownership and security of their data stack.
Where to Go Next
Quick Start
Sign up, augment your first dataset, add it to your Data Library, and download it in under 10 minutes.
Platform Overview
Explore the Dashboard, Data Library, Marketplace, and Augment workspaces.