A procedural Blender pipeline for photorealistic training image generation
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Updated
Jan 20, 2026 - Python
A procedural Blender pipeline for photorealistic training image generation
A synthetic data generator for text recognition
A Kubernetes operator for running synthetic checks as pods. Works great with Prometheus!
Tool for generating high quality Synthetic datasets
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021
Synthetic data for computer vision. An open source toolkit using Blender and Python.
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
Project Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'
Synthetic Blender Dataset Production
Evaluate real and synthetic datasets against each other
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing
KITTI-CARLA: Python scripts to generate the KITTI-CARLA dataset
Synthetic Role-Play Conversation Dataset Generation
Procedural data generators for verifiable reasoning, synthetic pretraining, post-training, evaluation, and RL.
Token usage tracker for (not only) OpenCode
Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics
AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection
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