Dataset Ninja LogoDataset Ninja:

Ear Detection Dataset

10711
Tagentertainment
Taskinstance segmentation
Release YearMade in 2022
Licenseunknown

Introduction #

Harsh Ghadiya

The Human Face: Ear Detection dataset is a comprehensive collection featuring images of human faces intricately annotated to highlight specific ear regions. Comprising a total of 440 images, each containing one or more human faces, this dataset serves as a crucial resource for training and developing computer vision models specialized in detecting ears within human facial structures. With applications extending to fields like biometric authentication and surveillance, the dataset’s diverse images, sourced from multiple origins, offer varying resolutions and lighting conditions, enhancing its utility in training models to identify and analyze ears across different visual contexts.

ExpandExpand
Dataset LinkHomepage

Summary #

Human Face: Ear Detection is a dataset for instance segmentation, semantic segmentation, and object detection tasks. Possible applications of the dataset could be in the entertainment industry.

The dataset consists of 107 images with 110 labeled objects belonging to 1 single class (ear).

Images in the Ear Detection dataset have pixel-level instance segmentation annotations. Due to the nature of the instance segmentation task, it can be automatically transformed into a semantic segmentation (only one mask for every class) or object detection (bounding boxes for every object) tasks. All images are labeled (i.e. with annotations). There are 2 splits in the dataset: train (60 images) and val (47 images). The dataset was released in 2022.

Dataset Poster

Explore #

Ear Detection dataset has 107 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 Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
OpenSample annotation mask from Ear DetectionSample image from Ear Detection
👀
Have a look at 107 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
Images
Objects
Count on image
average
Area on image
average
ear
polygon
107
110
1.03
0.54%

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
ear
polygon
110
0.52%
2.1%
0.04%
121px
3.52%
1052px
28.41%
491px
10.43%
52px
1.73%
793px
22.57%

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 110 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 110
Object ID
Class
Image name
click row to open
Image size
height x width
Height
Height
Width
Width
Area
1
ear
polygon
162.jpg
4480 x 6720
849px
18.95%
250px
3.72%
0.5%
2
ear
polygon
123.jpg
3500 x 2333
160px
4.57%
102px
4.37%
0.14%
3
ear
polygon
151.jpg
5659 x 3773
293px
5.18%
146px
3.87%
0.12%
4
ear
polygon
149.jpg
4480 x 6720
402px
8.97%
154px
2.29%
0.15%
5
ear
polygon
134.jpg
3822 x 3058
260px
6.8%
303px
9.91%
0.42%
6
ear
polygon
118.jpg
3840 x 5760
405px
10.55%
171px
2.97%
0.19%
7
ear
polygon
117.jpg
3390 x 5370
377px
11.12%
124px
2.31%
0.19%
8
ear
polygon
121.jpg
2560 x 1708
165px
6.45%
140px
8.2%
0.3%
9
ear
polygon
152.jpg
6144 x 4912
583px
9.49%
213px
4.34%
0.33%
10
ear
polygon
154.jpg
5184 x 3456
771px
14.87%
547px
15.83%
1.47%

License #

License is unknown for the Human Face: Ear Detection dataset.

Source

Citation #

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

@dataset{Ear Detection,
  author={Harsh Ghadiya},
  title={Human Face: Ear Detection},
  year={2022},
  url={https://www.kaggle.com/datasets/harshghadiya/human-face-ear-detection-with-annotation}
}

Source

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

@misc{ visualization-tools-for-ear-detection-dataset,
  title = { Visualization Tools for Ear Detection Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/ear-detection } },
  url = { https://datasetninja.com/ear-detection },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { jun },
  note = { visited on 2024-06-25 },
}

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.