EfficientViT-l2-seg
Semantic segmentation in higher resuolution.
EfficientViT is a machine learning model that can segment images from the Cityscape dataset. It has lightweight and hardware‑efficient operations and thus delivers significant speedup on diverse hardware platforms
Technical Details
Model checkpoint:l2.pt
Input resolution:2048x1024
Number of output classes:19
Model size (float):201 MB
Applicable Scenarios
- Automotive
- Autonomous Driving
- Camera
Supported Mobile Form Factors
- Phone
- Tablet
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI-HUB-MODELS-LICENSE
Tags
- real-time
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S21+
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy Tab S8
- Snapdragon 8 Elite Gen 5 QRD
- Xiaomi 12
- Xiaomi 12 Pro
Supported Mobile Chipsets
- Snapdragon® 8 Elite For Galaxy Mobile
- Snapdragon® 8 Elite Gen5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers