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Dataset Labels
['apartment', 'house']
Number of Images
{'valid': 239, 'test': 120, 'train': 835}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("neogpx/constructiontion", name="full")
example = ds['train'][0]
Roboflow Dataset Page
[https://universe.roboflow.com/demoyolo-9niso/apartmentdetection/dataset/1 ](https://universe.roboflow.com/demoyolo-9niso/apartmentdetection/dataset/1 ?ref=roboflow2huggingface)
Citation
@misc{
apartmentdetection_dataset,
title = { ApartmentDetection Dataset },
type = { Open Source Dataset },
author = { demoyolo },
howpublished = { \\url{ https://universe.roboflow.com/demoyolo-9niso/apartmentdetection } },
url = { https://universe.roboflow.com/demoyolo-9niso/apartmentdetection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2025-03-07 },
}
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.com on January 17, 2024 at 4:00 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 1194 images. Apartment-or-house 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)
No image augmentation techniques were applied.
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