Thanks for the replies. I tried the code suggested by @George_Soloupis, but I couldn’t get the conversion to work. I’m currently getting the following error:
[ FRAMEWORK ERROR ]  Cannot load input model: TensorFlow cannot read the model file: "/content/object_model_maker/saved_model.pb" is incorrect TensorFlow model file. 
The file should contain one of the following TensorFlow graphs:
1. frozen graph in text or binary format
2. inference graph for freezing with checkpoint (--input_checkpoint) in text or binary format
3. meta graph

Make sure that --input_model_is_text is provided for a model in text format. By default, a model is interpreted in binary format. Framework error details: Error parsing message. 
 For more information please refer to Model Optimizer FAQ, question #43. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=43#question-43)

Unfortunately, it seems like I can’t embed any links, so I can’t share my current notebook with you, but after creating the saved model, I’m using the following code to convert the model:
output_dir = '/content/output'

!source /opt/intel/openvino_2021/bin/setupvars.sh && \
    python /opt/intel/openvino_2021/deployment_tools/model_optimizer/mo.py \
    --input_model /content/object_model_maker/saved_model.pb \
    --transformations_config /opt/intel/openvino_2021/deployment_tools/model_optimizer/extensions/front/tf/automl_efficientdet.json \
    --reverse_input_channels \
    --output_dir {output_dir} \

Any help is greatly appreciated.