ResNet34-SSD
Object detection model combining ResNet34 backbone with SSD architecture.
ResNet34‑SSD is a single‑stage object detection model that integrates the ResNet34 backbone with the SSD (Single Shot MultiBox Detector) framework. It is optimized for real‑time detection tasks and supports multiple deployment backends including PyTorch, TensorFlow, and ONNX.
Technical Details
Model checkpoint:resnet34-ssd1200
Input resolution:1x3x1200x1200
Number of parameters:20.0M
Model size (float):76.2 MB
Applicable Scenarios
License
Model:APACHE-2.0
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
Looking for more? See models created by industry leaders.
Discover Model Makers






