What is Annotated Imagery Data? Uses, Examples & Data Sources

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Eugenio Caterino
Editor & Data Industry Expert

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 Datasets & APIs

4.9(7)
Starts at
$25 / month

Nexdata | Image Annotation Services | Image Labeling for AI & ML |Computer Vision Data| Annotated Imagery Data

by Nexdata
Available for 128 countries
500K images per month
5 years of historical data
98% Accuracy
Starts at
$5,000 / purchase
Free sample preview
Pricing available upon request
Free sample preview
4.9(2)
Pricing available upon request
Pricing available upon request
Free sample preview
revenue share

Annotated Indian Traffic Dataset

Available for 1 countries
150K images
1 years of historical data
Starts at
$9,000$8,100 / purchase
10% Datarade discount
4.9(7)
Starts at
$25 / month
revenue share
Starts at
$5,000 / purchase
Free sample preview
4.9(2)
Starts at
$4,000$3,600 / purchase
10% Datarade discount
4.9(2)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based

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Annotated Imagery Data Use Cases

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