---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: segmentation
    dtype: image
  - name: captions
    sequence: string
  splits:
  - name: train
    num_bytes: 5999939927.78
    num_examples: 49999
  download_size: 5991450661
  dataset_size: 5999939927.78
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-segmentation
- image-to-text
- text-to-image
language:
- en
pretty_name: COCO 2017 segmentation dataset downsampled with captions
size_categories:
- 10K<n<100K
---

## 📄 License and Attribution

This dataset is a downsampled version of the [COCO 2017 dataset](https://cocodataset.org/#home), tailored for segmentation tasks. It has the following fields:


- image: 256x256 image
- segmentation: 256x256 image. Each pixel encodes the class of that pixel. See `class_names_dict.json` for a legend.
- captions: a list of captions for the image, each by a different labeler.


Use the dataset as follows:

```python
import requests
from datasets import load_dataset

ds = load_dataset("peteole/coco2017-segmentation", split="train")

# Optional: Load the class names as dict
url = "https://huggingface.co/datasets/peteole/coco2017-segmentation-50k-256x256/resolve/main/class_names_dict.json"
response = requests.get(url)
class_names_dict = response.json()
```

### License

- **License Type**: [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
- **License Details**: This license permits redistribution, modification, and commercial use, provided that appropriate credit is given to the original creators.
- **Original Dataset License**: The original COCO 2017 dataset is licensed under CC BY 4.0.

### Attribution

When using this dataset, please cite the original COCO dataset as follows:

> Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár. "Microsoft COCO: Common Objects in Context." In *European Conference on Computer Vision*, pp. 740–755. Springer, 2014.

For more information, visit the [COCO dataset website](https://cocodataset.org/#home).