metadata
license: cc
dataset_info:
features:
- name: mask
dtype: image
- name: segments_info
struct:
- name: file_name
dtype: string
- name: image_id
dtype: int64
- name: segments_info
list:
- name: area
dtype: int64
- name: category_id
dtype: int64
- name: id
dtype: int64
- name: iscrowd
dtype: int64
- name: isthing
dtype: int64
- name: image_info
struct:
- name: coco_url
dtype: string
- name: date_captured
dtype: string
- name: file_name
dtype: string
- name: height
dtype: int64
- name: id
dtype: int64
- name: license
dtype: int64
- name: width
dtype: int64
splits:
- name: train
num_bytes: 35063720
num_examples: 5000
download_size: 32911960
dataset_size: 35063720
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
How to download
- Set up environment
pip install datasets tqdm
wget https://raw.githubusercontent.com/bytedance/coconut_cvpr2024/main/tutorials/download_coconut.py
- Use the download script to download the COCONut dataset splits.
python download_coconut.py # default split: relabeled_coco_val
If you want to download the other splits, you can put "coconut_s" or "coconut_b"
python download_coconut.py --split coconut_s --output_dir coconut_s