---
task_categories:
- image-segmentation
tags:
- roboflow
- roboflow2huggingface

---

<div align="center">
  <img width="640" alt="Textovic/lion-mask2former" src="https://huggingface.co/datasets/Textovic/lion-mask2former/resolve/main/thumbnail.jpg">
</div>

### Dataset Labels

```
['lion']
```


### Number of Images

```json
{'valid': 30, 'train': 345}
```


### How to Use

- Install [datasets](https://pypi.org/project/datasets/):

```bash
pip install datasets
```

- Load the dataset:

```python
from datasets import load_dataset

ds = load_dataset("Textovic/lion-mask2former", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/myworkspace-skwwo/lionssegmentation/dataset/8](https://universe.roboflow.com/myworkspace-skwwo/lionssegmentation/dataset/8?ref=roboflow2huggingface)

### Citation

```
@misc{
                            lionssegmentation_dataset,
                            title = { LionsSegmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Myworkspace },
                            howpublished = { \\url{ https://universe.roboflow.com/myworkspace-skwwo/lionssegmentation } },
                            url = { https://universe.roboflow.com/myworkspace-skwwo/lionssegmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2025 },
                            month = { jul },
                            note = { visited on 2025-07-22 },
                            }
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on July 22, 2025 at 5:24 PM GMT

Roboflow is an end-to-end computer vision platform that helps you
* collaborate with your team on computer vision projects
* collect & organize images
* understand and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

The dataset includes 375 images.
Lion are annotated in COCO format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)

The following augmentation was applied to create 3 versions of each source image:
* Random rotation of between -18 and +18 degrees
* Random shear of between -10° to +10° horizontally and -10° to +10° vertically
* Salt and pepper noise was applied to 2.44 percent of pixels