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SSDlite

docs/source/models/ssdlite.rst

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SSDlite

.. currentmodule:: torchvision.models.detection

The SSDLite model is based on the SSD: Single Shot MultiBox Detector <https://arxiv.org/abs/1512.02325>, Searching for MobileNetV3 <https://arxiv.org/abs/1905.02244> and MobileNetV2: Inverted Residuals and Linear Bottlenecks <https://arxiv.org/abs/1801.04381>__ papers.

.. betastatus:: detection module

Model builders

The following model builders can be used to instantiate a SSD Lite model, with or without pre-trained weights. All the model builders internally rely on the torchvision.models.detection.ssd.SSD base class. Please refer to the source code <https://github.com/pytorch/vision/blob/main/torchvision/models/detection/ssdlite.py>_ for more details about this class.

.. autosummary:: :toctree: generated/ :template: function.rst

ssdlite320_mobilenet_v3_large