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cuge1995 avatar cuge1995 commented on July 24, 2024 1

As described in http://shapenet.cs.stanford.edu/shrec16/, We use the ShapeNetCore subset of ShapeNet which contains about 51,300 3D models over 55 common categories, each subdivided into several subcategories. We created a 70%/10%/20% training/validation/test split from this dataset.

Therefore, it should be 35,708 (70%) for training, 5,158 (10%) shapes for validation and 10,261 (20%) shapes for testing. (This is suggested by PointCloudDatasets, they claimed that in official document there should be 51,190 shapes in total, but 63 shapes are missing in original downloaded ShapeNetCore.v2 dataset)

I was wondering how to fair compare with your's result by using PointCloudDatasets, should I use the training set (35,708) for training and the validation set(5158) for testing? Or use the testing set(10261) for testing?

from pointaugment.

liruihui avatar liruihui commented on July 24, 2024

FYI, SHREC16 is from http://shapenet.cs.stanford.edu/shrec16/

from pointaugment.

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