task_categories:object-detection region:us roboflow roboflow2huggingface
---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface

---

<div align="center">
  <img width="640" alt="neogpx/construction4sgm" src="https://huggingface.co/datasets/neogpx/construction4sgm/resolve/main/thumbnail.jpg">
</div>

### Dataset Labels

```
['building', 'tower', 'b201', 'b205', 'b206', 'b208', 'b306', 'b310', 'b313', 'b401', 'b403', 'b408', 'b409', 'b415', 'b416', 'b417', 'b419', 'b420', 'b421', 'b422', 'b502', 'b506', 'b508', 'b509', 'b510', 'b514', 'b516', 'b601', 'b602', 'b605', 'b607', 'b609', 'b703', 'b704', 'b706', 'b707', 'b708', 'bok', 'building', 'jung1', 'jung22']
```


### Number of Images

```json
{'valid': 60, 'test': 58, 'train': 956}
```


### 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("neogpx/construction4sgm", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/testconstruction/building-tsffm-q4sgm/dataset/1
](https://universe.roboflow.com/testconstruction/building-tsffm-q4sgm/dataset/1
?ref=roboflow2huggingface)

### Citation

```
@misc{
                            building-tsffm-q4sgm_dataset,
                            title = { building Dataset },
                            type = { Open Source Dataset },
                            author = { TestConstruction },
                            howpublished = { \\url{ https://universe.roboflow.com/testconstruction/building-tsffm-q4sgm } },
                            url = { https://universe.roboflow.com/testconstruction/building-tsffm-q4sgm },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2025 },
                            month = { feb },
                            note = { visited on 2025-02-14 },
                            }
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on February 14, 2025 at 5:36 AM 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 1074 images.
Building are annotated in COCO format.

The following pre-processing was applied to each image:

The following augmentation was applied to create 3 versions of each source image:
* 50% probability of horizontal flip
* Random rotation of between -15 and +15 degrees



