# Repli5 - [Welcome to the Repli5 platform](https://docs.repli5.com/introduction.md): Turn limited real-world photos into balanced, production-ready computer-vision training datasets. - [Quick Start](https://docs.repli5.com/quick-start.md): Get started on the Repli5 platform: upload datasets to the Data Library, organize work with Projects, choose the right workflow for your use case, and export production-ready training data. - [Projects & Data Library](https://docs.repli5.com/workspace/projects-and-data-library.md): Upload datasets, organize team projects, manage datapoint tags, and export filtered training archives on the Repli5 platform. - [Defect Generation](https://docs.repli5.com/workflows/defect-generation.md): Synthesize realistic, localized industrial defects onto defect-free (OK) part images with automatic COCO bounding boxes and segmentation masks. - [Variation Generator](https://docs.repli5.com/workflows/variation-generator.md): Generate realistic material, color, and lighting variations of close-up object photos while preserving existing surface defects and wear. - [Quality Evaluation & Review](https://docs.repli5.com/evaluation/quality-evaluation.md): Platform-wide automated rubric scoring, manual review statuses, and single-image regeneration across all augmentation workflows. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.