OSNet
Omni‑scale person re‑identification network for robust identity embeddings.
OSNet is a compact convolutional architecture for person re‑identification. It extracts discriminative embeddings that can be compared with cosine similarity for person matching across camera views.
Not supported
This model is currently not supported on any Mobile chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:256x128
Model checkpoint:osnet_x1_0_market_256x128_amsgrad_ep150_stp60_lr0.0015_b64_fb10_softmax_labelsmooth_flip.pth
Model size (float):8.69 MB
Model size (w8a8):3.57 MB
Number of parameters:2.68M
Applicable Scenarios
- Multi-camera person tracking
- Retail analytics
- Building access and security monitoring
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:MIT
Tags
- backbone
- real-time
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- 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 S26
- Samsung Galaxy S26 Ultra
- Samsung Galaxy S26+
- Samsung Galaxy Tab S8
- Snapdragon 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Snapdragon 8 Elite QRD
- Xiaomi 12
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 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