title: Improve accuracy with Tensorflow Object detection pretrained model
body: <p>I am working on building an object detection model which I would like to create with 22 new classes (most of them are not in COCO or PETS datasets)
  What I've already done is:</p>
  
  <ul>
  <li><p>Prepared images with multiple labels using LabelIMG. </p></li>
  <li><p>Decrease image size in 2 for images that are bigger than 500k</p></li>
  <li><p>Convert XML to CSV file</p></li>
  <li><p>Convert CSV and images to TFRecord</p></li>
  <li><p>Using the Tensorflow sample config files I've trained with several pretrained checkpoints. </p></li>
  </ul>
  
  <p><strong>Results</strong>: SSD_Mobilenet and SSD_Inception resulted in no classes
  found(loss ~10.0) while faster RCNN Inception did succeed to detect some of the
  objects(loss ~0.7).</p>
  
  <p>My questions are:</p>
  
  <ol>
  <li>What is the difference between train.py from <a href="https://github.com/tensorflow/models/tree/master/research/object_detection" rel="nofollow noreferrer">Object detection</a>, which I used in the above, to retrain.py from <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py" rel="nofollow noreferrer">image_retraining</a> to train_image_classifier.py from <a href="https://github.com/tensorflow/models/tree/master/research/slim" rel="nofollow noreferrer">Slim</a>?</li>
  <li>Which is better for my task? Or should I do it in a different way?</li>
  <li>While running the train.py on FRCNN inception I found that the loss was around 0.7 and not going lower even after 100k steps. Is there any goal in terms of loss to achieve? </li>
  <li>How do you suggest to change the config file to improve this?</li>
  <li>I found other models for instance Inception V4 etc... which doesn't have sample config files - <a href="https://github.com/tensorflow/models/tree/master/research/slim" rel="nofollow noreferrer">TF slim</a>. Should I try them and if so how can I use them?</li>
  </ol>
  
  <p>I am pretty new in this field and I need some support in understanding the terms and actions. </p>
  
  <p>BTW: I am using GTX 1060 (GPU) for training but eval is not working in parallel so I can't get the mAP for validation. I tried to force eval for CPU but with no success.</p>
  
  <p>Thanks.</p>