Electricity Datasets
Collection
3 items
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Updated
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image_id
int64 0
4.05k
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640
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int32 640
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int32 640
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End of preview. Expand
in Data Studio
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
- Downloads last month
- 99
Size of downloaded dataset files:
124 MB
Size of the auto-converted Parquet files:
124 MB
Number of rows:
4,605