Smart Street Litter Detection and Classification Based on Faster R-CNN and Edge Computing.
Ping PingGuoyan XuEffendy KumalaJerry GaoPublished in: Int. J. Softw. Eng. Knowl. Eng. (2020)
Keyphrases
- automatic detection
- classification accuracy
- pattern recognition
- image classification
- convolutional neural network
- support vector
- classification method
- machine learning
- text classification
- detection method
- classification systems
- automatic classification
- pattern classification
- digital mammograms
- decision trees
- feature extraction
- feature vectors
- detection algorithm
- feature selection
- spam detection
- detection accuracy
- preprocessing
- detection rate
- feature space
- neyman pearson
- benchmark datasets
- machine learning algorithms
- supervised learning
- robust detection
- feature extraction and classification
- classification algorithm
- traffic signs
- classification process
- edge map
- classification scheme
- false alarms
- machine learning methods
- active learning
- learning algorithm