keremberke/yolov8m-building-segmentation
Image Segmentation
•
Updated
•
5.07k
•
3
image_id
int64 0
6.76k
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imagewidth (px) 280
4.61k
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int32 280
4.61k
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int32 217
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['building']
{'train': 6764, 'valid': 1934, 'test': 967}
pip install datasets
from datasets import load_dataset
ds = load_dataset("keremberke/satellite-building-segmentation", name="full")
example = ds['train'][0]
https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1
@misc{ buildings-instance-segmentation_dataset,
title = { Buildings Instance Segmentation Dataset },
type = { Open Source Dataset },
author = { Roboflow Universe Projects },
howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation } },
url = { https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2023-01-18 },
}
CC BY 4.0
This dataset was exported via roboflow.com on January 16, 2023 at 9:09 PM GMT
Roboflow is an end-to-end computer vision platform that helps you
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 9665 images. Buildings are annotated in COCO format.
The following pre-processing was applied to each image:
No image augmentation techniques were applied.