efficientdet_d0¶

lucid.models.efficientdet_d0(num_classes: int = 80, **kwargs) → EfficientDet¶

The efficientdet_d0 function returns an instance of the EfficientDet model, preconfigured with compound coefficient 0, corresponding to the smallest and most efficient variant of the EfficientDet family.

Total Parameters: 3,591,656

Function Signature¶

def efficientdet_d0(num_classes: int = 80, **kwargs) -> EfficientDet

Parameters¶

num_classes (int, default=80): Number of target object classes to detect.
kwargs: Additional keyword arguments passed to the EfficientDet constructor.

Returns¶

EfficientDet: An instance of the EfficientDet-D0 object detector using the EfficientNet-B0 backbone, BiFPN feature fusion, and shared detection heads for classification and regression.

Example Usage¶

>>> from lucid.models import efficientdet_d0
>>> model = efficientdet_d0(num_classes=80)
>>> print(model)

>>> x = lucid.rand(2, 3, 512, 512)
>>> out = model(x)
>>> for o in out:
...     print(o.shape)
# Each output tensor corresponds to one image’s detections.