metadata
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
num_examples: 374
- name: test
num_bytes: 5486934
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
num_examples: 3
- name: validation
num_bytes: 92832
num_examples: 3
- name: test
num_bytes: 92832
num_examples: 3
download_size: 292941
dataset_size: 278496
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-*
Dataset Labels
['sun']
Number of Images
{'valid': 374, 'test': 184, 'train': 4047}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
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
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