BlenderProc
A procedural Blender pipeline for generating photorealistic training images for computer vision and machine learning.
What is BlenderProc?
BlenderProc2 is a procedural pipeline built on Blender that automates the generation of photorealistic synthetic images and annotations for training computer vision and machine learning models. It solves the problem of expensive and time-consuming real-world data collection by enabling scalable, customizable, and reproducible synthetic dataset creation.
Computer vision researchers, machine learning engineers, and developers who need high-quality synthetic training data for tasks like object detection, segmentation, and pose estimation.
Developers choose BlenderProc2 for its deep integration with Blender's rendering capabilities, extensive support for 3D formats and datasets, and fully programmable pipeline that allows precise control over scene generation, making it a powerful open-source alternative to commercial synthetic data tools.
Overview
A procedural Blender pipeline for photorealistic training image generation
Use Cases
Best For
- Generating synthetic training datasets for object detection models
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