title: EfficientDet Low Accuracy
body: <p>I use TensorFlow 2.3 and tested all EfficientDet models. It is written on the TensorFlow github <a href="https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md" rel="nofollow noreferrer">page</a> that EfficientDet D7 has higher mAP than NasNet as 51.5 &gt; 43 <a href="https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md" rel="nofollow noreferrer">Tf1_models</a>. But in testing data, I can see that EfficientDet has really lower accuracy then other models. Why NasNet is much more accurate than EfficientDet while it has lower mAP?
  Here results can be seen:
  Nas detection:
  <a href="https://i.stack.imgur.com/qmz9f.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/qmz9f.jpg" alt="enter image description here" /></a></p>
  <p>Efficient detection:
  <a href="https://i.stack.imgur.com/aaivE.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/aaivE.jpg" alt="enter image description here" /></a></p>