Model version: 1.00c rev1
Release Date = 04/01/24
Dataset = My_CatsAndDogs
Model Name = CatOrDog
Model Type = Image Classification
Model mode = Keras EfficientDet
Source Model: EfficientNetB0

- For TensorFlow Models use the [saved model CLI](https://www.tensorflow.org/guide/saved_model#details_of_the_savedmodel_command_line_interface)to find input and output tensors
Input Tensor:
    inputs['efficientnetb0_input'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, 224, 224, 3)
        name: serving_default_efficientnetb0_input:0

Output Tensor:
    outputs['dense_1'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, 1)
        name: StatefulPartitionedCall:0
  Method name is: tensorflow/serving/predict

Output classes = {1:'dog', 2:'cat'}
Notes: Decide if an image contains a Cat or Dog
Change from last release: N/A, first release
