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Japanese Animation Object Detection Set
Data Science and Analytics
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About
The data provides bounding box annotations for images sourced from anime. It serves as a structured resource for training machine learning models to perform object detection tasks on animated content. While anime generally describes all animated works in Japan, outside of Japan, it specifically refers to animation produced in Japan. This dataset facilitates learning and research into the automated identification and localisation of objects within this specific visual medium.
Columns
The dataset includes seven primary columns designed to locate objects and reference the source image:
- Path: File path reference.
- Img Path: A secondary image path reference.
- XMin: The normalized minimum X coordinate of the bounding box (ranges from 0.03 minimum to 0.85 maximum).
- YMin: The normalized minimum Y coordinate of the bounding box (ranges from 0.04 minimum to 0.94 maximum).
- XMax: The normalized maximum X coordinate of the bounding box (ranges from 0.04 minimum to 1 maximum).
- YMax: The normalized maximum Y coordinate of the bounding box (ranges from 0.08 minimum to 1 maximum).
- ImageID: A unique identifier for the image, with 603 unique values.
- Url: The URL pointing to the original source image, also containing 603 unique values.
All coordinate columns (XMin, YMin, XMax, YMax) and identifier columns (ImageID, Path, Url) contain 603 valid records with zero missing or mismatched values.
Distribution
The data is provided in a CSV file format named
Data.csv, with a file size of 73.41 kB. The structure consists of 7 columns, detailing object boundaries for a total of 603 unique image records. The statistical analysis of the coordinate data suggests varied placement of bounding boxes across the image space.Usage
This dataset is ideally suited for object detection training and evaluation. Potential applications include:
- Developing object detection models, particularly for advanced Computer Vision systems.
- Machine learning projects focusing on image annotation and localization.
- Educational use for students studying Computer Vision at Beginner, Intermediate, or Advanced levels.
- Research into anime and manga image analysis.
Coverage
The content covers visual material related to animation originating primarily from Japan. The scope is centred around 603 distinct images, each annotated with bounding box coordinates. Specific time ranges or demographic targeting are not noted, but the data is stable and is expected to have an update frequency of 'Never'.
License
CC0: Public Domain
Who Can Use It
- Machine Learning Engineers: Training and fine-tuning image detection algorithms tailored for animation styles.
- Researchers and Academics: Studying visual data analysis within the field of Anime and Manga.
- Students: Practicing fundamental and complex Computer Vision techniques.
- Data Scientists: Exploring image metadata and coordinate analysis.
Dataset Name Suggestions
- Anime Bounding Boxes
- Japanese Animation Object Detection Set
- Anime Computer Vision Labels
- Annotated Anime Imagery
Attributes
Original Data Source: Japanese Animation Object Detection Set
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