Electric Pole Detection - Dataset Ninja

Summary #

Electric Pole Detection is a dataset for an object detection task. Possible applications of the dataset could be in the utilities industry.

The dataset consists of 93 images with 117 labeled objects belonging to 1 single class (electric pole).

Images in the Electric Pole Detection dataset have bounding box annotations. There is 1 unlabeled image (i.e. without annotations). There are 2 splits in the dataset: train (84 images) and test (9 images). The dataset was released in 2019.

Explore #

Electric Pole Detection dataset has 93 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

Sample annotation mask from Electric Pole Detection

Sample image from Electric Pole Detection

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Have a look at 93 images

Because of dataset's license preview is limited to 12 images

View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 1 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Rows 1-1 of 1

Class ㅤ	Images ㅤ	Objects ㅤ	Count on image average	Area on image average
electric pole➔ rectangle	92	117	1.27	6.89%

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Object distribution #

Interactive heatmap chart for every class with object distribution shows how many images are in the dataset with a certain number of objects of a specific class. Users can click cell and see the list of all corresponding images.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Rows 1-1 of 1

Class	Object count	Avg area	Max area	Min area	Min height	Min height	Max height	Max height	Avg height	Avg height	Min width	Min width	Max width	Max width
electric pole rectangle	117	5.42%	23.09%	0.19%	54px	5.27%	482px	56.12%	238px	27.22%	27px	3.52%	211px	46.3%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Objects #

Table contains all 117 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Rows 1-10 of 117

Object ID ㅤ	Class ㅤ	Image name click row to open	Image size height x width	Height ㅤ	Height ㅤ	Width ㅤ	Width ㅤ	Area ㅤ
1➔	electric pole rectangle	83.jpg	1024 x 768	260px	25.39%	112px	14.58%	3.7%
2➔	electric pole rectangle	83.jpg	1024 x 768	155px	15.14%	71px	9.24%	1.4%
3➔	electric pole rectangle	83.jpg	1024 x 768	107px	10.45%	52px	6.77%	0.71%
4➔	electric pole rectangle	63.jpg	1024 x 768	279px	27.25%	93px	12.11%	3.3%
5➔	electric pole rectangle	31.jpg	768 x 432	368px	47.92%	62px	14.35%	6.88%
6➔	electric pole rectangle	18.jpg	768 x 432	218px	28.39%	80px	18.52%	5.26%
7➔	electric pole rectangle	18.jpg	768 x 432	111px	14.45%	46px	10.65%	1.54%
8➔	electric pole rectangle	42.jpg	768 x 432	285px	37.11%	115px	26.62%	9.88%
9➔	electric pole rectangle	28.jpg	768 x 432	270px	35.16%	92px	21.3%	7.49%
10➔	electric pole rectangle	30.jpg	768 x 432	270px	35.16%	94px	21.76%	7.65%

License #

License is unknown for the Electric Pole Detection dataset.

Source

Citation #

If you make use of the Electric Pole Detection data, please cite the following reference:

@dataset{Electric Pole Detection,
  author={Bharat Kabra},
  title={Electric Pole Detection},
  year={2019},
  url={https://github.com/kabrabharat/Electric-Pole-detection-using-darknet/tree/master}
}

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-electric-pole-dataset,
  title = { Visualization Tools for Electric Pole Detection Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/electric-pole } },
  url = { https://datasetninja.com/electric-pole },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { jul },
  note = { visited on 2024-07-27 },
}

Download #

Please visit dataset homepage to download the data.

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Disclaimer #

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