gigwegbe/synthetic_data_with_nvidia_replicator_and_edge_impulse
The Unreasonable Effectiveness of Synthetic Data
This project helps anyone building computer vision models overcome challenges with limited or non-diverse real-world training data. It shows how to create realistic synthetic images of objects, like cutlery, from 3D models and use them to train robust object detection models. Scientists, operations engineers, or anyone developing vision systems for real-world scenarios would find this valuable.
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Use this if you need to train an object detection model but struggle to gather enough varied real-world images, especially for rare events or diverse environments.
Not ideal if you already have a massive, diverse dataset for your specific computer vision task, as generating synthetic data adds a step to your workflow.
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Python
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MIT
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Last pushed
Mar 29, 2023
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