| Symbols | |
| AP | Average precision |
| AP50 | mAP with the IOU threshold of 0.5 |
| AP70 | mAP with the IOU threshold of 0.7 |
| CNN | Convolutional neural network |
| DCNN | Deep convolutional neural network |
| F 1 | Metric function to balance P and R |
| Faster R-CNN | Faster regions with convolutional neural network features |
| FC | Fully convolutional |
| FCIS | Fully convolutional instance-aware semantic segmentation |
| FCN | Fully convolutional network |
| FCOS | Fully convolutional one-stage object detection |
| FN | False negative |
| FP | False positive |
| FPN | Feature pyramid network |
| GPU | Graphic processing unit |
| IOU | Intersection over the union |
| mAP | Mean average precision |
| Mask R-CNN | Mask regions with convolutional neural network features |
| mIOU | Mean intersection over the union |
| P | Precision rate |
| R | Recall rate |
| ROI | Region of interest |
| RPN | Region proposal network |
| Tmax | Maximum temperature |
| Tmin | Minimum temperature |
| TN | True negative |
| TP | True positive |