15K+ Bounding Box with Annotation Image Dataset
Generative AI & Computer Vision
Tags and Keywords
$237,600
About
15K Bounding Box Annotated Images Dataset
Description
The 15K+ Bounding Box with Annotation Image Dataset is a general-purpose computer vision dataset containing 15,000 PNG images with bounding box annotations and object class labels. The dataset covers diverse visual content, including storefronts, street signs, documents, billboards, sidewalk advertisements, and restaurant menus etc. Images include multilingual content such as Hindi, Thai, Korean, Hebrew, Chinese, Japanese and Arabic, supporting the development of AI systems for visual recognition and scene understanding across different language contexts.
Designed for object detection, image annotation, visual localization, and computer vision model training, this dataset provides labeled visual examples to help developers build and evaluate AI models that identify and locate objects in real-world images. It is suitable for research and development in visual AI, multilingual image understanding, commercial scene analysis, and document detection.
Pricing Note: Pricing varies depending on several factors, including the number of images, number of bounding box annotations, number and type of object classes, annotation quality, metadata availability, image resolution, file formats, licensing terms, and customization requirements. The final price will be determined based on the specific dataset requirements and selected package.
Data Product Features
- Annotated Images: 15,000 images in PNG format.
- Bounding Box Annotations: Coordinates representing the location of annotated objects within images.
- Object Class Labels: Categories assigned to objects, including storefronts, street signs, documents, billboards, sidewalk advertisements, and restaurant menus etc.
- Image Identification: Image IDs or filenames used to associate images with their corresponding annotations, where available.
- JSON Annotation Files: Structured annotation data associated with the images.
- Image Metadata: Image attributes such as dimensions, filename, and format, where available.
- Coordinate Information: Bounding box coordinate representation, subject to the conventions used in the source annotations.
- Multilingual Visual Content: Images containing Hindi, Chinese, and other languages where represented.
Distribution
- Image Format: PNG
- Annotation Format: JSON
- Data Structure: Image files paired with their associated annotation data.
- Data Modality: Images with structured bounding box annotations.
Data Volume
- Total Images: 15,000
- Image Files: PNG
- Annotation Files: JSON
- Dataset Size: The dataset size may vary depending on image resolution, image dimensions, file formats, design complexity, metadata availability, annotations, and dataset version.
Usage
This data product is ideal for a variety of applications:
- Object Detection: Train and evaluate computer vision models to identify and localize objects using bounding boxes.
- Visual Recognition: Develop AI systems that recognize storefronts, street signs, documents, billboards, and restaurant menus etc.
- Scene Understanding: Analyze commercial environments, streetscapes, signage, and public-facing visual content.
- Document Detection: Identify and localize documents and other text-bearing objects in images.
- Advertisement Detection: Detect billboards and sidewalk advertisements for visual analysis and content discovery.
- Multilingual Visual AI: Develop systems that process images containing Hindi, Thai, Korean, Hebrew, Chinese, Japanese and Arabic.
- Image Localization: Train models to determine object positions and boundaries within images.
- Computer Vision Research: Support experimentation with object detection architectures, annotation methods, and visual recognition pipelines.
Coverage
- Geographic Coverage: Global.
- Languages: Hindi, Thai, Korean, Hebrew, Chinese, Japanese and Arabic.
- Visual Categories: Storefronts, street signs, documents, billboards, sidewalk advertisements, and restaurant menus etc.
- Industry Coverage: General-purpose computer vision, retail and commercial environments, signage, advertising, and document-related applications.
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
image_id | STRING | Identifier linking an image to its annotation data. | Dataset-specific identifier, Where available. |
image_file | STRING | Image filename or path. | PNG file reference. |
annotation_id | STRING | Identifier for an individual object annotation. | Where available. |
class_label | STRING | Category assigned to an annotated object. | Storefront, street sign, document, billboard, sidewalk advertisement, restaurant menu, or other available classes. |
bbox | ARRAY / OBJECT | Bounding box coordinates identifying an object's location. | Exact structure depends on the JSON schema. |
coordinate_system | STRING | Convention used to represent bounding box coordinates. | For example, XYXY, XYWH, or normalized coordinates; confirm actual format. |
image_width | INTEGER | Width of the image in pixels. | Where available. |
image_height | INTEGER | Height of the image in pixels. | Where available. |
image_format | STRING | Image file format. | PNG. |
image_language | STRING | Language represented in the image, if recorded. | Hindi, Chinese and other available values. |
annotation_metadata | OBJECT | Additional information associated with annotations. | Fields depend on the source schema. |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
Additional Notes
- The dataset contains 15,000 images and associated JSON annotation data.
- Object categories include storefronts, street signs, documents, billboards, sidewalk advertisements, and restaurant menus etc.
- Hindi, Thai, Korean, Hebrew, Chinese, Japanese and Arabic.
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$237,600
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