# Synthetic data

Bespoke Labs focuses on providing high-quality customized dataset services to support engineers in precise model tuning. Founded by former Google DeepMind employee Mahesh and UT Austin's Alex, the company aims to improve the acquisition of high-quality data, which is essential for advancing the field. The tools and platforms offered by Bespoke Labs, such as Minicheck, Evalchemy, and Curator, are designed around the creation and management of datasets, enhancing data quality and model performance.

Bootstrap3D is a framework aimed at improving 3D content creation by leveraging synthetic data generation techniques to address the scarcity of high-quality 3D assets. It utilizes 2D and video diffusion models to generate multi-view images based on text prompts and employs the 3D-perceptive MV-LLaVA model to filter high-quality data and rewrite inaccurate titles. The framework has generated 1 million high-quality synthetic multi-view images with dense descriptive captions to alleviate the shortage of high-quality 3D data. It also introduces a Training Timestep Reschedule (TTR) strategy that leverages the denoising process to learn multi-view consistency while preserving the original 2D diffusion prior.

Datagen is a synthetic image dataset accessible through a platform or API. It can generate realistic full-body human images and scenes of human-object interactions in different environments. Users can control individual parameters through code to achieve human-centric dataset design and generation.

SyntheticAIdata is a platform for rapidly generating large-scale synthetic datasets for training visual AI models. Using SyntheticAIdata, you can easily generate massive synthetic datasets, significantly accelerating the training speed of visual AI models for tasks like image classification, image segmentation, and object detection. Our solution helps you bring AI-powered applications to market faster. SyntheticAIdata is supported by Microsoft for Startups and is part of the NVIDIA Inception program.