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Holes Object Detection Dataset

4931876
Tagmanufacturing
Taskobject detection
Release YearMade in 2023
Licenseunknown

Introduction #

Released 2023-02-17 Β·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.

Dataset LinkHomepage

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.

Dataset Poster

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.

OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
OpenSample annotation mask from Holes Object DetectionSample image from Holes Object Detection
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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.

Search
Rows 1-1 of 1
Class
γ…€
Images
γ…€
Objects
γ…€
Count on image
average
Area on image
average
holeβž”
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.

Search
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.

Spatial Heatmap

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.

Search
Rows 1-10 of 495
Object ID
γ…€
Class
γ…€
Image name
click row to open
Image size
height x width
Height
γ…€
Height
γ…€
Width
γ…€
Width
γ…€
Area
γ…€
1βž”
hole
rectangle
HoleDet3_4.jpg
2048 x 3072
660px
32.23%
689px
22.43%
7.23%
2βž”
hole
rectangle
HoleDet2_166.jpg
2048 x 3072
616px
30.08%
616px
20.05%
6.03%
3βž”
hole
rectangle
HoleDet1_16.jpg
2048 x 3072
634px
30.96%
637px
20.74%
6.42%
4βž”
hole
rectangle
HoleDet3_95.jpg
2048 x 3072
764px
37.3%
751px
24.45%
9.12%
5βž”
hole
rectangle
HoleDet2_63.jpg
2048 x 3072
602px
29.39%
602px
19.6%
5.76%
6βž”
hole
rectangle
HoleDet3_127.jpg
2048 x 3072
773px
37.74%
771px
25.1%
9.47%
7βž”
hole
rectangle
HoleDet3_118.jpg
2048 x 3072
797px
38.92%
742px
24.15%
9.4%
8βž”
hole
rectangle
HoleDet2_74.jpg
2048 x 3072
595px
29.05%
595px
19.37%
5.63%
9βž”
hole
rectangle
HoleDet2_103.jpg
2048 x 3072
748px
36.52%
748px
24.35%
8.89%
10βž”
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 2024-07-25 },
}

Download #

Please visit dataset homepage to download the data.

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