Name | DL | Torrents | Total Size | Deep Learning [edit] | 50 | 963.86GB | 527 | 0 | Spatial Datasets [edit] | 33 | 859.23GB | 128 | 0 | Computer Vision [edit] | 79 | 1.41TB | 611 | 0 |
mass_roads (2343 files)
valid/sat/25229245_15.tiff | 6.77MB |
valid/sat/25229230_15.tiff | 6.77MB |
valid/sat/24929245_15.tiff | 6.77MB |
valid/sat/24328810_15.tiff | 6.77MB |
valid/sat/24179245_15.tiff | 6.77MB |
valid/sat/23128930_15.tiff | 6.77MB |
valid/sat/22978990_15.tiff | 6.77MB |
valid/sat/22829035_15.tiff | 6.77MB |
valid/sat/22528900_15.tiff | 6.77MB |
valid/sat/21929020_15.tiff | 6.77MB |
valid/sat/18028945_15.tiff | 6.77MB |
valid/sat/10978795_15.tiff | 6.77MB |
valid/sat/10978735_15.tiff | 6.77MB |
valid/sat/10228690_15.tiff | 6.77MB |
valid/map/25229245_15.tif | 2.25MB |
valid/map/25229230_15.tif | 2.25MB |
valid/map/24929245_15.tif | 2.25MB |
valid/map/24328810_15.tif | 2.25MB |
valid/map/24179245_15.tif | 2.25MB |
valid/map/23128930_15.tif | 2.25MB |
valid/map/22978990_15.tif | 2.25MB |
valid/map/22829035_15.tif | 2.25MB |
valid/map/22528900_15.tif | 2.25MB |
valid/map/21929020_15.tif | 2.25MB |
valid/map/18028945_15.tif | 2.25MB |
valid/map/10978795_15.tif | 2.25MB |
valid/map/10978735_15.tif | 2.25MB |
valid/map/10228690_15.tif | 2.25MB |
train/sat/99238675_15.tiff | 6.77MB |
train/sat/99238660_15.tiff | 6.77MB |
train/sat/27178705_15.tiff | 6.77MB |
train/sat/27028720_15.tiff | 6.77MB |
train/sat/27028705_15.tiff | 6.77MB |
train/sat/27028690_15.tiff | 6.77MB |
train/sat/27028675_15.tiff | 6.77MB |
train/sat/26878750_15.tiff | 6.77MB |
train/sat/26878735_15.tiff | 6.77MB |
train/sat/26878720_15.tiff | 6.77MB |
train/sat/26878705_15.tiff | 6.77MB |
train/sat/26878675_15.tiff | 6.77MB |
train/sat/26728780_15.tiff | 6.77MB |
train/sat/26728765_15.tiff | 6.77MB |
train/sat/26728750_15.tiff | 6.77MB |
train/sat/26728735_15.tiff | 6.77MB |
train/sat/26728720_15.tiff | 6.77MB |
train/sat/26728705_15.tiff | 6.77MB |
train/sat/26728690_15.tiff | 6.77MB |
train/sat/26728675_15.tiff | 6.77MB |
train/sat/26578795_15.tiff | 6.77MB |
Type: Dataset
Tags:
Bibtex:
Tags:
Bibtex:
@article{, title = {Mnih Massachusetts Roads Dataset}, journal = {}, year = {2013}, url = {http://www.cs.toronto.edu/~vmnih/data/}, abstract = {"The datasets introduced in Chapter 6 of my PhD thesis are below. See the thesis for more details." }, author = {Volodymyr Mnih}, }