Semantic Segmentation Services
Classify every pixel by category. Perfect for scene understanding, autonomous systems, and medical imaging with complete pixel-level classification.
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Complete Scene Understanding
Pixel Accuracy
Classes Supported
Pilot Time
Format Ready
What is Semantic Segmentation?
Semantic segmentation assigns a class label to every single pixel in an image. Unlike instance segmentation, it doesn't distinguish between different instances of the same class—all cars are labeled "car", all roads are labeled "road".
This creates a complete understanding of the scene, making it essential for applications that need to know what's where—like autonomous vehicles understanding their environment or medical systems identifying tissue types.
Key Applications
Autonomous Driving
Road, sidewalk, vehicle, pedestrian pixel classification
Medical Imaging
Organ and tissue segmentation in CT/MRI scans
Satellite Imagery
Land use classification and change detection
Agriculture
Crop health monitoring and field segmentation
Trusted by AI Leaders
See what our clients say about working with AI Taggers
"We needed semantic segmentation for 100k satellite images across 20 land-use categories. AI Taggers delivered with 99.3% pixel accuracy and perfect class consistency across the entire dataset."
Our Process Delivers
99.5%
Pixel Accuracy
50+
Classes Supported
24-48h
Pilot Turnaround