AxisCommunications/blenderset-addon
Blenderset is tool for creating synthetic training data using blender. It can be used to create random scenes consisting of a real background image, ontop of which random humans and vehicles models are rendered with random lighting. In addition to the rendered images, annotations are generated in form of pixelwise instance-segmentations and bounding boxes.
This tool helps machine learning engineers create realistic training datasets for computer vision models. It combines real background images with computer-generated 3D models of humans and vehicles, rendered under various lighting conditions. The output includes the synthetic images along with precise annotations like pixel-wise instance segmentations and bounding boxes, which are crucial for training object detection and segmentation algorithms.
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Use this if you need to generate diverse and accurately labeled synthetic image data, especially involving humans and vehicles, to train your computer vision models when real-world data collection is expensive or limited.
Not ideal if you require training data for domains other than human and vehicle detection, or if you prefer to work exclusively with real-world image datasets.
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Language
Python
License
MIT
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Last pushed
Feb 05, 2025
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