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---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
dataset_info:
- config_name: full
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
length: 4
- name: category
dtype:
class_label:
names:
'0': sun
splits:
- name: train
num_bytes: 116033440.923
num_examples: 4047
- name: validation
num_bytes: 10697357.0
num_examples: 374
- name: test
num_bytes: 5486934.0
num_examples: 184
download_size: 124477992
dataset_size: 132217731.923
- config_name: mini
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
length: 4
- name: category
dtype:
class_label:
names:
'0': sun
splits:
- name: train
num_bytes: 92832.0
num_examples: 3
- name: validation
num_bytes: 92832.0
num_examples: 3
- name: test
num_bytes: 92832.0
num_examples: 3
download_size: 292941
dataset_size: 278496.0
configs:
- config_name: full
data_files:
- split: train
path: full/train-*
- split: validation
path: full/validation-*
- split: test
path: full/test-*
- config_name: mini
data_files:
- split: train
path: mini/train-*
- split: validation
path: mini/validation-*
- split: test
path: mini/test-*
---
<div align="center">
<img width="640" alt="SamuelM0422/SunDataset" src="https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['sun']
```
### Number of Images
```json
{'valid': 374, 'test': 184, 'train': 4047}
```
### 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("SamuelM0422/SunDataset", name="full")
example = ds['train'][0]
```
### Roboflow Dataset Page
[https://universe.roboflow.com/samuelm0422/sundetection-bwqjs/dataset/1](https://universe.roboflow.com/samuelm0422/sundetection-bwqjs/dataset/1?ref=roboflow2huggingface)
### Citation
```
@misc{
sundetection-bwqjs_dataset,
title = { SunDetection Dataset },
type = { Open Source Dataset },
author = { SamuelM0422 },
howpublished = { \\url{ https://universe.roboflow.com/samuelm0422/sundetection-bwqjs } },
url = { https://universe.roboflow.com/samuelm0422/sundetection-bwqjs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2025-04-10 },
}
```
### License
CC BY 4.0
### Dataset Summary
This dataset was exported via roboflow.com on April 10, 2025 at 4:19 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 4605 images.
Sun-3Qf4-ywwQ-sun 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:
* 50% probability of horizontal flip
* 50% probability of vertical flip
* Randomly crop between 0 and 20 percent of the image
* Random rotation of between -15 and +15 degrees
* Random shear of between -10° to +10° horizontally and -10° to +10° vertically
* Random brigthness adjustment of between -15 and +15 percent
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