🏗️ CNN
CNN — Convolutional Neural Network
Neural networks designed specifically for image processing — the backbone of modern Computer Vision
99.5%
Accuracy
100M+
Parameters
<10ms
Inference
Key Features
What Makes This Technology Special
Convolution Layer
Extract features from images using learned filters
Pooling Layer
Reduce spatial dimensions for faster processing
Fully Connected Layer
Final decision layer for classification output
Feature Maps
Visualize features that the CNN learns from images
ResNet / VGG / EfficientNet
Proven standard architectures for vision tasks
Transfer Learning
Fine-tune pre-trained CNNs for your specific task
Benefits
Why You Need This Technology
Automatic Feature Extraction
No manual feature engineering — CNN learns from data
Extremely High Accuracy
CNNs outperform humans on many vision tasks
Versatile Across Tasks
Classify, detect, and segment all with CNN architecture
Pre-trained & Ready
ImageNet pre-trained models available for fine-tuning
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