Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation.
Lars SchmarjeVasco GrossmannClaudius ZelenkaSabine DippelRainer KikoMariusz OszustMatti PastellJenny StrackeAnna ValrosNina VolkmannReinhard KochPublished in: CoRR (2022)
Keyphrases
- data centric
- image classification
- multi label
- image annotation
- data driven
- data management
- business processes
- data representation
- information management
- application development
- feature extraction
- image features
- metadata
- wireless sensor networks
- distributed systems
- real world
- data storage
- web services
- routing protocol
- image representation
- database
- active learning
- case study
- high level
- database systems