efficientdet_d5¶

lucid.models.efficientdet_d5(num_classes: int = 80, **kwargs) → EfficientDet¶

The efficientdet_d5 function returns an instance of the EfficientDet model, configured with compound coefficient 5, scaling both feature and input resolutions for enhanced detection of small and medium-sized objects.

Total Parameters: 29,882,556

Function Signature¶

def efficientdet_d5(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 EfficientDet-D5 using EfficientNet-B5 backbone and 1280x1280 input resolution.

Example Usage¶

>>> from lucid.models import efficientdet_d5
>>> model = efficientdet_d5(num_classes=80)
>>> print(model)

>>> x = lucid.rand(2, 3, 1280, 1280)
>>> out = model(x)