| CV | Computer vision |
| GBDT | Gradient boosting decision tree |
| LGBM | Light gradient boosting machine |
| XGB | Extreme gradient boosting |
| FC | Fully connected |
| ANN | Artificial neural network |
| CNN | Convolutional neural network |
| R-CNN | Region convolutional neural network |
| RPN | Region proposal network |
| FPN | Feature pyramid network |
| RoI | Region of interest |
| ML | Machine learning |
| FCN | Fully convolutional network |
| 2D | Two-dimensional |
| 3D | Three-dimensional |
| AP | Average precision |
| AR | Average recall |
| MAE | Mean absolute error |
| MSE | Mean square error |
| RMSE | Root mean square error |
| R2 | Coefficient of determination |
| EF | Existing feature |
| PF | Proposed feature |
| AF | Artificial feature |
| LF | Learned feature |