Data collection of bird eye view stone images and respective volume data are conducte​d using blender and isaac sim. The preprocessing of image is done using segmentation and classification of different stone instances.
The model achieved accuracies of approximate 97% and 98% using resnet-34 and resnet-18. For future steps, the model will be deployed on real stone data to examine its performance.
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