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: 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: 874203347.2 | |
num_examples: 118200 | |
download_size: 817249090 | |
dataset_size: 874203347.2 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
## How to download | |
1. Set up environment | |
``` | |
pip install datasets tqdm | |
wget https://raw.githubusercontent.com/bytedance/coconut_cvpr2024/main/download_coconut.py | |
``` | |
2. Use the download script to download the COCONut dataset splits. | |
``` | |
python download_coconut.py --split coconut_s # default split: relabeled_coco_val, need to switch to coconut_s | |
``` | |
The above command should print your download status, if you download it successfully you can see the results below: | |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65ca9b1743207e438a95e90c/tRcbV6pX-r0xSoobOBJzD.png) | |
3. Download other COCONut dataset splits. | |
If you want to download the other splits, you can replace the split name to "relabeled_coco_val" or "coconut_b" | |
NOTE: multiple splits download is not yet supported. | |
``` | |
python download_coconut.py --split relabeled_coco_val --output_dir relabeled_coco_val | |
``` | |
4. The mask images are nearly black as we use continuous segment ids for each image, you can use [github visualization tutorial](https://github.com/bytedance/coconut_cvpr2024/blob/main/tutorials/visualization/demo.ipynb) to create colorful masks for viewing. | |
Please go to our offical github repo for detailed usage instruction: https://github.com/bytedance/coconut_cvpr2024 | |