Investigating the optimisation of real-world and synthetic object detection training datasets through the consideration of environmental and simulation factors.
Callum NewmanJon PetzingYee Mey GohLaura JusthamPublished in: Intell. Syst. Appl. (2022)
Keyphrases
- training dataset
- object detection
- environmental factors
- computer vision
- genetic algorithm
- simulation model
- face detection
- training data
- multi class
- training set
- training samples
- object recognition
- object class
- scene understanding
- environmental protection
- active learning
- background subtraction
- object categories
- high quality
- simulation environment
- key factors
- data mining