The challenge uses the standard PASCAL VOC 2010 mean Average Precision (mAP) at IoU > 0.4.

## Submission File
Images in the test set may contain more than one object. For each object in a given test image, you must predict a class ID, confidence score, and bounding box in format xmin ymin xmax ymax. If you predict that there are NO objects in a given image, you should predict 14 1.0 0 0 1 1, where 14 is the class ID for "No finding", 1.0 is the confidence, and 0 0 1 1 is a one-pixel bounding box.

The submission file should contain a header and have the following format:
```
ID,TARGET
004f33259ee4aef671c2b95d54e4be68,14 1 0 0 1 1
004f33259ee4aef671c2b95d54e4be69,11 0.5 100 100 200 200 13 0.7 10 10 20 20
etc.
```