efficientdet_d1¶

lucid.models.efficientdet_d1(num_classes: int = 80, **kwargs) → EfficientDet¶

The efficientdet_d1 function returns an instance of the EfficientDet model, preconfigured with compound coefficient 1, representing a deeper and higher-resolution variant compared to EfficientDet-D0.

Total Parameters: 5,068,752

Function Signature¶

def efficientdet_d1(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-D1 detector using the EfficientNet-B1 backbone, with a larger BiFPN and higher input resolution than D0.

Example Usage¶

>>> from lucid.models import efficientdet_d1
>>> model = efficientdet_d1(num_classes=80)
>>> print(model)

>>> x = lucid.rand(2, 3, 640, 640)
>>> out = model(x)
>>> for o in out:
...     print(o.shape)
# Each output tensor corresponds to one image’s detections.