hello there, I generated my datasets based on your BlendPhong and modelnet40, finally got images like this. 
white models in black background. But when I tested the cnn with my datasets, the accuracy is only 50%~60%.when I get rid of some classes familliar such as table&night_stand, the accuracy rose to 90%. I was confused. the difference between your datasets and my datasets is lighting and camera type(ORTHO&Perspective).Does these matter?
hello there, I generated my datasets based on your BlendPhong and modelnet40, finally got images like this.
white models in black background. But when I tested the cnn with my datasets, the accuracy is only 50%~60%.when I get rid of some classes familliar such as table&night_stand, the accuracy rose to 90%. I was confused. the difference between your datasets and my datasets is lighting and camera type(ORTHO&Perspective).Does these matter?