🔬 Segmentation Techniques
Advanced Segmentation Techniques
Deep dive into U-Net, Mask R-CNN, SAM architectures and advanced techniques for industrial use
98%+
mIoU
5+
Architectures
SOTA
Results
Key Features
What Makes This Technology Special
U-Net
Encoder-Decoder architecture for medical & industrial use
Mask R-CNN
Industry-standard instance segmentation
SAM (Segment Anything)
Meta's foundation model for segmenting anything
DeepLab
Google's architecture for semantic segmentation
Point-Based Methods
Interactive segmentation with click-based prompts
ONNX Export
Export models to ONNX for edge deployment
Benefits
Why You Need This Technology
Right Architecture Choice
Select the best model for your task — speed vs accuracy
Foundation Models
Use SAM for zero-shot segmentation without retraining
Edge-Ready
Optimize model size for edge device deployment
SOTA Performance
Results matching latest research from top universities
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