Data Synthesis
Another unique strength of Pebblous is its high-quality synthetic data. When data is scarce or expensive to obtain, using synthetic data to train AI is the most powerful and efficient approach.
Christmas Capsules, 2019. Digital media, Lee Ju-haeng
Generate precision targeting synthetic data based on quality diagnosis
Computer Graphics
Use advanced CG software and rendering technology to create visually realistic images or animations.
Generative
Using a deep learning model, it automatically generates new data that mimics the real world data patterns.
Modeling & Simulation
After creating a virtual environment based on scenarios and equations that express the real world, we create data by modeling and simulating the process and behavior of the real world.
Synthetic Dataset: Case Study
Single image 3D creation
Single photo -based 3D model generation synthetic data
* POSTECH joint research, achievement of SOTA levels(SIGGRAPH Asia 2023)Drone Detection
3D synthesis data for drone awareness and tracking
Characters and poses in special environments
Synthesis data for AI learning for figures and attitude recognition in a special environment, such as children's perception within the vehicle
Robot autonomous driving field
This is a dataset required for robots such as vacuum cleaners, and AI detects objects and plans optimal driving paths.
animal behavior
Synthesis data for AI learning to classify mouse behavior and recognize body parts
Livestock sector
After creating a stable diffusion -based LORA model for analysis of small behavioral forms
Diet monitoring
Synthetic data for meals for monitoring. Use hybrids of 3D and generated models
Logistics field
This is a dataset for automatically recognizing the inventory of the stand in an environment such as an unmanned shop.
Pharmaceutical field
In the automatic pill automatic preparation system of large hospitals, a computer vision inspection requires a pill dataset of various forms and configuration. Synthesis data for the detection and coefficient of the pill
Waste Plastic Recycling Classification AI Synthetic Data
Synthetic data for AI learning used to recycle resources through plastic material classification