ZumoLabs/zpy
Synthetic data for computer vision. An open source toolkit using Blender and Python.
This project helps computer vision practitioners create their own training data using 3D models and simulated environments, instead of relying on real-world image collection. You input 3D assets and scene descriptions, and it generates an effectively infinite amount of diverse image data with corresponding annotations. This is ideal for machine learning engineers, AI researchers, or anyone building computer vision models who struggles with data acquisition and labeling.
321 stars. No commits in the last 6 months.
Use this if you need large, diverse, and precisely labeled image datasets for training computer vision models, but find real-world data collection, annotation, and privacy burdensome.
Not ideal if your computer vision task relies solely on highly specific, irreplicable real-world image characteristics that cannot be effectively simulated.
Stars
321
Forks
35
Language
Python
License
GPL-3.0
Category
Last pushed
Dec 04, 2021
Commits (30d)
0
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