Sequencer2D
Imagenet classifier and general purpose backbone.
Sequencer2D is a vision transformer model that can classify images from the Imagenet dataset.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:sequencer2d_s
Input resolution:224x224
Number of parameters:27.6M
Model size (float):106 MB
Model size (w8a8):69.1 MB
Applicable Scenarios
- Medical Imaging
- Anomaly Detection
- Inventory Management
License
Model:APACHE-2.0
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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