ResNet-Mixed-Convolution-Quantized
Sports and human action recognition in videos.
ResNet Mixed Convolutions is a network with a mixture of 2D and 3D convolutions used for video understanding.
Technical Details
Model checkpoint:Kinectics-400
Input resolution:112x112
Number of parameters:11.7M
Model size:11.7 MB
Applicable Scenarios
- Camera
- Action Recognition
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI Model Hub License
Tags
- backbone
- quantized
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8250 (Proxy)
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- RB3 Gen 2 (Proxy)
- RB5 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8250 (Proxy)
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers