Holes Object Detection - Dataset Ninja

Introduction #

Released 2023-02-17 ·Li Chengyuan

The Holes Object Detection in Industrial Scene Dataset was produced on February 17, 2023, collected and annotated by Li Chengyuan. The data set contains a total of 493 real pictures of holes used in industrial production. It only contains hole-type objects. All pictures are 3-channel color format pictures. The dataset contains real pictures of pallet nut pre-connection station and drilling site.

Homepage

Summary #

Holes Object Detection in Industrial Scene Dataset is a dataset for an object detection task. It is used in the manufacturing industry.

The dataset consists of 493 images with 495 labeled objects belonging to 1 single class (hole).

Images in the Holes Object Detection dataset have bounding box annotations. All images are labeled (i.e. with annotations). There are no pre-defined train/val/test splits in the dataset. The dataset was released in 2023.

Explore #

Holes Object Detection dataset has 493 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 Holes Object Detection

Sample image from Holes Object Detection

👀

Have a look at 493 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
hole➔ rectangle	493	495	1	8.54%

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
hole rectangle	495	8.5%	23.89%	5.3%	577px	28.17%	1226px	59.86%	728px	35.54%	578px	18.82%	1226px	39.91%

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 495 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 495

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➔	hole rectangle	HoleDet3_4.jpg	2048 x 3072	660px	32.23%	689px	22.43%	7.23%
2➔	hole rectangle	HoleDet2_166.jpg	2048 x 3072	616px	30.08%	616px	20.05%	6.03%
3➔	hole rectangle	HoleDet1_16.jpg	2048 x 3072	634px	30.96%	637px	20.74%	6.42%
4➔	hole rectangle	HoleDet3_95.jpg	2048 x 3072	764px	37.3%	751px	24.45%	9.12%
5➔	hole rectangle	HoleDet2_63.jpg	2048 x 3072	602px	29.39%	602px	19.6%	5.76%
6➔	hole rectangle	HoleDet3_127.jpg	2048 x 3072	773px	37.74%	771px	25.1%	9.47%
7➔	hole rectangle	HoleDet3_118.jpg	2048 x 3072	797px	38.92%	742px	24.15%	9.4%
8➔	hole rectangle	HoleDet2_74.jpg	2048 x 3072	595px	29.05%	595px	19.37%	5.63%
9➔	hole rectangle	HoleDet2_103.jpg	2048 x 3072	748px	36.52%	748px	24.35%	8.89%
10➔	hole rectangle	HoleDet2_216.jpg	2048 x 3072	609px	29.74%	609px	19.82%	5.89%

License #

License is unknown for the Holes Object Detection in Industrial Scene Dataset dataset.

Source

Citation #

If you make use of the holes object detection data, please cite the following reference:

@dataset{holes object detection,
  author={Li Chengyuan},
  title={Holes Object Detection in Industrial Scene Dataset},
  year={2023},
  url={https://www.kaggle.com/datasets/lichengyuan988/holes-object-detection-in-industrial-scene}
}

Source

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

@misc{ visualization-tools-for-holes-object-detection-dataset,
  title = { Visualization Tools for Holes Object Detection Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/holes-object-detection } },
  url = { https://datasetninja.com/holes-object-detection },
  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.

. . .

Disclaimer #

Our gal from the legal dep told us we need to post this:

Dataset Ninja provides visualizations and statistics for some datasets that can be found online and can be downloaded by general audience. Dataset Ninja is not a dataset hosting platform and can only be used for informational purposes. The platform does not claim any rights for the original content, including images, videos, annotations and descriptions. Joint publishing is prohibited.

You take full responsibility when you use datasets presented at Dataset Ninja, as well as other information, including visualizations and statistics we provide. You are in charge of compliance with any dataset license and all other permissions. You are required to navigate datasets homepage and make sure that you can use it. In case of any questions, get in touch with us at hello@datasetninja.com.