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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.

Model RepositoryHugging Face

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 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 Tab S8
    • Snapdragon 8 Elite Gen 5 QRD
    • Xiaomi 12
    • Xiaomi 12 Pro

    Supported Mobile Chipsets

    • 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

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