A synthetic data generator for text recognition
-
Updated
Jul 18, 2024 - Python
A synthetic data generator for text recognition
A procedural Blender pipeline for photorealistic training image generation
A Kubernetes operator for running synthetic checks as pods. Works great with Prometheus!
Tool for generating high quality Synthetic datasets
Create large-scale synthetic training data for model distillation and evaluation
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'
Discord RAT: A versatile bot-based C2 tool that can manage multiple clients at once.
Evaluate real and synthetic datasets against each other
Synthetic Blender Dataset Production
KITTI-CARLA: Python scripts to generate the KITTI-CARLA dataset
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
Synthetic Role-Play Conversation Dataset Generation
Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics
The official code implementation for SynTable - A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes
IFTG (ImageFromTextGenerator) is a Python package that simplifies creating robust datasets for OCR models. Generate images from text, apply over 10 built-in noise effects, and customize fonts and layouts. IFTG supports all languages and offers endless noise combinations, including custom noise creation.
Add a description, image, and links to the synthetic topic page so that developers can more easily learn about it.
To associate your repository with the synthetic topic, visit your repo's landing page and select "manage topics."