title: Interpreting output of `model_main.py` in Tensorflow Object Detection API
body: <p>I was able to successfully train my model by running <code>model_main.py</code> and got this result:</p>
  
  <blockquote>
    <p>Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.344</p>
    
    <p>Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ]
    = 0.514</p>
    
    <p>Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ]
    = 0.376</p>
    
    <p>Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100
    ] = 0.112</p>
    
    <p>Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100
    ] = 0.317</p>
    
    <p>Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100
    ] = 0.504</p>
    
    <p>Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1
    ] = 0.303</p>
    
    <p>Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10
    ] = 0.474</p>
    
    <p>Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100
    ] = 0.509</p>
    
    <p>Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100
    ] = 0.222</p>
    
    <p>Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100
    ] = 0.507</p>
    
    <p>Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100
    ] = 0.676</p>
  </blockquote>
  
  <p>How do we interpret this? What does <code>area</code> represent? Where is the mAP value?</p>