Download KITTI Semantic Segmentation dataset. As a result you will have data_semantics.zip
archive.
It contains two directories:
data_semantics├── testing│ └── image_2│ ├── 000000_10.png│ ├── ...│ └── 000199_10.png└── training├── image_2│ ├── 000000_10.png│ ├── ...│ └── 000199_10.png├── instance│ ├── 000000_10.png│ ├── ...│ └── 000199_10.png├── semantic│ ├── 000000_10.png│ ├── ...│ └── 000199_10.png└── semantic_rgb├── 000000_10.png├── ...└── 000199_10.png
To import this dataset to Supervisely you have to perform two steps.
To import annotated data (train images) just drag and drop directory training
and choose import preset "KITTI".
To import test images just drag and drop directory image_2
(that locates in testing
directory) and choose import preset "Supervisely / Images".