Closed Red-Fairy closed 2 months ago
Hi, thanks for your interest!
We split the data randomly, so there is no such a correspondence.
Could you please tell us which categories are you interested in? Since we are planning to package the data by categories, we can upload these categories in priority.
Thanks for your quick response!
I'm interested in those containers. I think they're simple in shape and thus suitable for my project.
Could you provide us with specific class_labels? So that we can better prepare them.
The class_labels are 0, 1, 14, 26, 39, 43, 48, 49, 83, 119, 160.
Thanks in advance!
Hi, thanks for the wonderful work! I am also interested the category of pipes whose class_label is 145. Could you please helping me upload it? Thank you!
Could you provide us with specific class_labels? So that we can better prepare them.
Thanks for the wonderful work! I am interested in fruit and vegetable categories.Could you help me get the data in these categories? Thanks in advance!
Could you provide us with specific class_labels? So that we can better prepare them.
Thanks for the wonderful work! I am interested in fruit and vegetable categories.Could you help me get the data in these categories? Thanks in advance!
Could you provide the class labels?
@Red-Fairy @Marquess98 Hi there, your requested categories have been uploaded in priority, you can find them under MVImgNet_by_categories
now :D
We will leave this issue open until we uploaded all classes.
Hi, nice work! I am interested in furniture 3d model reconstruction. Could you please provide class label 6, 8, 29, 46, 79 in a zip file? Thanks.
The class_labels are 36, 45, 46, thanks a lot !!!
@20throokie @interstellar-ai Done.
Hi @Larry-u @mutianxu , Thank you for your great work.
Could you please provide class label [1, 2, 6, 7, 8, 13, 15, 16, 19, 20, 22, 24, 28, 29, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 43, 44, 45, 46, 47, 50, 53, 76, 77, 86, 93, 94, 99, 100, 108, 112, 113, 114, 125, 126, 127, 129, 132, 133, 138, 139, 141, 146, 147, 148, 149, 150, 152, 153, 154, 156, 163, 167, 168, 192, 195, 197, 205, 206, 207, 208, 211, 212, 215, 216, 217, 218, 219, 220, 222, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 237, 240, 241, 243, 246, 251, 252, 253, 266, 267] in zip file?
Or id inside this categories mvimagenet.txt.
Thank you a lot.
Hi @Larry-u @mutianxu , Thank you for your great work.
Could you please provide class label [1, 2, 6, 7, 8, 13, 15, 16, 19, 20, 22, 24, 28, 29, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 43, 44, 45, 46, 47, 50, 53, 76, 77, 86, 93, 94, 99, 100, 108, 112, 113, 114, 125, 126, 127, 129, 132, 133, 138, 139, 141, 146, 147, 148, 149, 150, 152, 153, 154, 156, 163, 167, 168, 192, 195, 197, 205, 206, 207, 208, 211, 212, 215, 216, 217, 218, 219, 220, 222, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 237, 240, 241, 243, 246, 251, 252, 253, 266, 267] in zip file?
Or id inside this categories mvimagenet.txt.
Thank you a lot.
Please see https://github.com/GAP-LAB-CUHK-SZ/MVImgNet/blob/main/mvimgnet_category.txt
Thanks for the great dataset! However, the dataset is extremely huge, and I'm only interested in some specific categories. Therefore, could you provide the correspondence between the zip file and the object category?
Thanks in advance!