Datasetpublic

Textovic/lion-mask2former

Dataset Labels ['lion'] Number of Images {'valid': 30, 'train': 345} How to Use Install datasets: pip install datasets Load the dataset: 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 Citation @misc{… See the full description on the dataset page: https://huggingface.co/datasets/Textovic/lion-mask2former.

sourceHugging Faceupdated 1y agoView on Hugging Face

0likes17downloads

Dataset Card

Dataset Labels

['lion']

Number of Images

json

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

How to Use

—Install 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

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