|
|
--- |
|
|
dataset_info: |
|
|
features: |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: mask |
|
|
dtype: image |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 168179584.5 |
|
|
num_examples: 4076 |
|
|
- name: validation |
|
|
num_bytes: 239947212.14 |
|
|
num_examples: 1020 |
|
|
- name: test |
|
|
num_bytes: 171513671 |
|
|
num_examples: 572 |
|
|
download_size: 1618850322 |
|
|
dataset_size: 579640467.64 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: validation |
|
|
path: data/validation-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
task_categories: |
|
|
- image-segmentation |
|
|
size_categories: |
|
|
- 1K<n<10K |
|
|
--- |
|
|
|
|
|
# Link |
|
|
* Paper: https://www.cs.cityu.edu.hk/~rynson/papers/cvpr20c.pdf |
|
|
* Project page: https://jiaying.link/cvpr2020-pgd/ |
|
|
|
|
|
# Split info |
|
|
We use the splitted version of the dataset. We split the train to train and validation with the ratio 80% and 20% respectively. If you want to use the original split composition, just combine train and validation. |
|
|
|
|
|
# Dataset info |
|
|
We found that there is a missing file in ADE20K test set. We found the missing file in the combined zip file in the project page. |
|
|
|
|
|
# License info |
|
|
Please refer to the paper and project page for the details. |