peteole/coco2017-segmentation-50k-256x256

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Citation text from the card

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()
```


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).

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dataset_licence({ "id": "peteole/coco2017-segmentation-50k-256x256" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0