| AP |
Average precision |
MIOU |
Mean intersection over union |
| ARS |
Agriculture Research Service |
MP |
Max pooling |
| Bbox |
Bounding box |
NMS |
Non-maximum suppression |
| Box1–Box5 |
Proposed boxes with various sales and ratios after the region proposal network |
|
Interpolated precision in the precision-recall curve when recall is r
|
| C1–C5 |
Convolutional stages 1 to 5 in the residual network |
|
Measured precision at recall
|
| COCO |
Common object in context |
P2-P6 |
Feature maps in the feature pyramid network |
| Conv. |
Convolution |
ReLu |
Rectified linear units |
| CNN |
Convolutional neural network |
ResNet |
Residual network |
| Faster RCNN |
Faster region-based convolutional neural network |
ResNet18-ResNet1000 |
Residual network with 18-1000 layers of convolution |
| FC |
Fully-connected |
ROI |
Regions of interest |
| FCN |
Fully-connected network |
RPN |
Region proposal network |
| FN |
False negative |
TN |
True negative |
| FP |
False positive |
TP |
True positive |
| FPN |
Feature pyramid network |
Ups. |
Upsampling |
| IOU |
Intersection over union |
USA |
United State of American |
| Mask R-CNN |
Mask region-based convolutional neural network |
USDA |
United State department of agriculture |