How various image annotation types are revolutionizing AI models across industries

At a Glance

• Image annotation techniques like 3D cuboid annotation, segmentation, and polylines hold the key to training computer vision-based models and AI applications in accurate object recognition.
• Professional image annotators use diverse techniques to ensure high-quality annotations that fulfil the specific training needs of AI projects.
• We highlight 13 real-world applications of image annotation across industries detailing use cases and annotation techniques used for each.

Image annotation is essential for AI and machine learning, impacting a broad range of industries from autonomous vehicles to healthcare.

Today, AI systems controlling self-driving cars are trained on billions of accurately labeled images. Healthcare AI is identifying cancer with up to 90% accuracy. And the retail AI market is expected to grow to $23.3 billion by 2027. Precision farming is seeing a yield increase of 20-30%, and the market for video surveillance is projected to reach $74.6 billion by 2025.

This rapid spread of vision-based AI and its critical dependence on image training datasets has brought image annotation under the spotlight. Image annotation is crucial for training AI models accurately, but knowing the what, where, and the how of it can be challenging.

To help AI and ML professionals get a clearer grasp of the current scenario, this article presents 13 industry-wise use cases of image annotation. These provide practical applications to help you improve your model training efforts.

Table of Contents

Use Cases and Techniques of Image Annotation across Industries

• Autonomous Vehicles
• Healthcare
• Retail and E-commerce
• Security and Surveillance
• Agriculture
• Geospatial Analytics
• Wildlife Conservation
• Social Media
• Art and Entertainment
• Sports Analytics
• Livestock Management
• Soil Condition and Geo-sensing
• Fashion Analytics
• Multiple Image Annotation Techniques Used in a Single Use Case

Use Cases and Techniques of Image Annotation across Industries

Image annotation is widely used across various industries, each leveraging this technology for different applications with proven results. It has transformed how we interact with visual data across these industries, to leverage AI and machine learning applications.

Here are some examples of industries with respective use cases and techniques employed in image annotation tasks:

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