README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - found
language:
  - en
license:
  - cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - object-detection
task_ids: []
paperswithcode_id: null
pretty_name: Sun Detection Dataset
tags:
  - roboflow
  - roboflow2huggingface
dataset_info:
  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
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/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