model.yml

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description: >-
  The "efficientdet-d1-tf" model is one of the EfficientDet <https://arxiv.org/abs/1911.09070>
  models  designed to perform object detection. This model was pre-trained in TensorFlow*.
  All the EfficientDet models have been pre-trained on the Common Objects in Context
  (COCO) <https://cocodataset.org/#home> image database. For details about this family
  of models, check out the Google AutoML repository <https://github.com/google/automl/tree/master/efficientdet>.
task_type: detection
files:
  - name: efficientdet-d1_frozen.pb
    size: 28613804
    checksum: f89a4fe6072e5dddc71c0532261e1cd89a69472d92a85445437e8b57129708adbad35cf09a8e7603a25b05ee0ebdf4cb
    source: https://storage.openvinotoolkit.org/repositories/open_model_zoo/public/2023.0/efficientdet-d1-tf/efficientdet-d1_frozen.pb
input_info:
  - name: image_arrays
    shape: [1, 640, 640, 3]
    layout: NHWC
model_optimizer_args:
  - --reverse_input_channels
  - --input_model=$dl_dir/efficientdet-d1_frozen.pb
  - --transformations_config=$mo_ext_dir/front/tf/automl_efficientdet.json
framework: tf
license: https://raw.githubusercontent.com/google/automl/master/LICENSE