What is Annotated Imagery Data? Uses, Examples & Data Sources
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On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Annotated Imagery Data?
Annotated imagery data refers to visual content, such as images or videos, that have been labeled or annotated with additional information. This information can include object recognition, semantic segmentation, or other annotations that provide context and understanding to the visual content. Annotated imagery data is commonly used in computer vision tasks, such as training machine learning models for object detection, image classification, or scene understanding.
Examples of annotated imagery data include labeled images of objects, scenes, or events with corresponding annotations such as bounding boxes, semantic segmentation masks, or keypoint locations. Annotated imagery data is used for training and evaluating computer vision models, enabling them to recognize and understand visual information. In this page, you’ll find the best data sources for annotated image datasets.
Best Annotated Imagery Databases & Datasets
Here is our curated selection of top Annotated Imagery Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
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Imagery Data | Annotated Imagery Data | AI Training Data| Human full body images | 50,000 Stock Images
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10M+ Images | Annotated imagery data | Full EXIF Data | Object & Scene Detection | Global Coverage
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Nexdata | Image Annotation Services | Image Labeling for AI & ML |Computer Vision Data| Annotated Imagery Data
FileMarket | Text Recognition Data | 50,000 Images | Computer Vision Data | AI Model Training Data | Textual data | Annotated Imagery Data
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Driver Technologies | Pedestrian Annotated Imagery Video Data | North America and UK | Real-time and historical traffic information
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Annotated Imagery Data |Object Detection Data| AI Training Data| Car images | 100,000 Stock Images
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100K+ Landmark Images | Object Detection Data | Full EXIF Data | Annotated imagery data | Global Coverage
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Annotated Indian Traffic Dataset
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Nexdata | Multi-race Online Conference Video Data | 20000Â ID | Annotated Imagery Data
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TagX - 30000 Images+ Face Detection Data | Facial Features Metadata | Face Recognition | Identity verification | Global coverage
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Top Annotated Imagery Data Providers & Companies
Popular Use Cases for Annotated Imagery Data
Annotated Imagery Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Annotated Imagery Data.
Main Attributes of Annotated Imagery Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
Attribute | Type | Description | Action |
---|---|---|---|
String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 12 datasets | |
String | The name of a language as per ISO 639. | View 9 datasets | |
Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 2 datasets | |
String | An identifier (ID) for a product. | View 1 datasets | |
String | A unique identifier for a person, mainly used for user identification within the user's home organization | View 1 datasets | |
String | The Uniform Resource Locator (URL) is the resource address on the internet. | View 1 datasets |
Frequently Asked Questions
Where Can I Buy Annotated Imagery Data?
You can explore our data marketplace to find a variety of Annotated Imagery Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Annotated Imagery Data Maintained?
The quality of Annotated Imagery Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Annotated Imagery Data Updated?
The update frequency for Annotated Imagery Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Annotated Imagery Data Secure?
The security of Annotated Imagery Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Annotated Imagery Data Delivered?
Annotated Imagery Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Annotated Imagery Data.
How Much Does Annotated Imagery Data Cost?
The cost of Annotated Imagery Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Annotated Imagery Data for your needs.
What Are Similar Data Types to Annotated Imagery Data?
Annotated Imagery Data is similar to other data types, such as Machine Learning (ML) Data, Deep Learning (DL) Data, Synthetic Data, Textual data, and Audio Data. These related categories are often used together for applications like Artificial Intelligence (AI) and Iris Recognition.