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syntheticAIdata

syntheticAIdata

syntheticAIdata is a cutting-edge platform designed to assist businesses in creating top-tier synthetic data to enhance the training of vision AI models. Offering a budget-friendly..
5.0 (1)
Product Information
Description
syntheticAIdata is a cutting-edge platform designed to assist businesses in creating top-tier synthetic data to enhance the training of vision AI models. Offering a budget-friendly alternative for obtaining synthetic data, this platform extends support for diverse computer vision undertakings, including image classification, segmentation, and object detection. Noteworthy support is provided by Microsoft for Startups, and the platform is an integral component of the NVIDIA Inception program.
How to use
To utilize syntheticAIdata, adhere to the following steps:
1. Upload your three-dimensional model through the online dashboard.
2. Set up the data generation options, including backgrounds and lighting, or opt for the preset choices.
3. Retrieve the created synthetic data, which can be saved in your account for later use.
4. Incorporate the solution with cloud services or bring the data into your development environments to train your AI models.
Useful cases
syntheticAIdata is relied upon by businesses across multiple sectors for their vision AI model training requirements. Some applications include: - Automotive: Developing realistic synthetic data for training AI models focused on autonomous driving, object detection, and driver assistance systems. - Retail: Leveraging synthetic data to educate AI models for inventory oversight, visual merchandising, and consumer analytics. - Manufacturing: Producing synthetic data from 3D models to train AI models aimed at quality assurance, defect detection, and optimizing processes.
Core features
  • The primary features of syntheticAIdata encompass:
  • Annotation Types: Offers support for three well-known image annotation categories
  • object detection, semantic segmentation, and image classification.
  • Scaling: Seamlessly adjust data generation to produce image batches that meet your needs and enhance model accuracy.
  • Backgrounds: Select from an array of colors and shapes, real-life images, and auto-generated backgrounds.
  • Lighting: Tailor lighting settings to improve the realism of 3D models and diversify the generated synthetic data.
  • 3D Models: Import lifelike 3D models to create synthetic data for training AI vision models.
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