It really seems a recurrent and hot topic.
I hope that we could plan to have a better integration also with TFHhub for transfer learning and finetuning with the refactoring in:

  

      github.com
  

  
    tensorflow/models/blob/master/official/vision/beta/MODEL_GARDEN.md#object-detection-and-instance-segmentation 1


    # TF-Vision Model Garden

## Introduction

TF-Vision modeling library for computer vision provides a collection of
baselines and checkpoints for image classification, object detection, and
segmentation.

## Image Classification

### ImageNet Baselines

#### ResNet models trained with vanilla settings

* Models are trained from scratch with batch size 4096 and 1.6 initial learning
  rate.
* Linear warmup is applied for the first 5 epochs.
* Models trained with l2 weight regularization and ReLU activation.

| Model        | Resolution    | Epochs  |  Top-1  |  Top-5  | Download |



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