EfficientNetB5

class EfficientNetB5(noTop: Boolean) : ONNXModels.CV
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This model is a neural network for image classification that take images as input and classify the major object in the image into a set of 1000 different classes (labels are available via org.jetbrains.kotlinx.dl.impl.dataset.Imagenet.V1k.labels method).

Instantiates the EfficientNetB5 architecture.

The model have

  • an input with the shape (1x456x456x3)

  • an output with the shape (1x1000)

  • an output for noTop model with the shape (1x14x14x2048)

NOTE: This model is converted from Keras.applications, the last two layers in the noTop model have been removed so that the user can fine-tune the model for his specific task.

See also

Constructors

EfficientNetB5
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fun EfficientNetB5(noTop: Boolean = false)
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Functions

model
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open fun model(modelHub: ModelHub): OnnxInferenceModel
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pretrainedModel
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open override fun pretrainedModel(modelHub: ModelHub): ImageRecognitionModel
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Properties

inputShape
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open val inputShape: LongArray?
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Shape of the input accepted by this model, without batch size.

modelRelativePath
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open override val modelRelativePath: String
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preprocessor
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open val preprocessor: Operation<Pair<FloatArray, TensorShape>, Pair<FloatArray, TensorShape>>
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