efficientdet_d6¶

lucid.models.efficientdet_d6(num_classes: int = 80, **kwargs) → EfficientDet¶

The efficientdet_d6 function returns an instance of the EfficientDet model, with compound coefficient 6, optimized for high-accuracy large-scale detection with deeper BiFPN and larger input resolution.

Total Parameters: 52,634,622

Function Signature¶

def efficientdet_d6(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-D6 model using EfficientNet-B6 backbone, trained for 1280x1280 input resolutions.

Example Usage¶

>>> from lucid.models import efficientdet_d6
>>> model = efficientdet_d6(num_classes=80)
>>> print(model)

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