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KaIDA: A Modular Tool for Assisting Image Annotation in Deep Learning
- Marcel Schilling
- Svenja Schmelzer
- Lukas Klinger
- Markus Reischl
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Description: Deep learning models achieve high-quality results for various image processing tasks. Criticism is the need for large annotated datasets to obtain parameters of deep neural networks. Labeling images is often done manually by experts without a comprehensive tool for assistance. We present the novel and modular software tool KaIDA suited for assisted annotation in various image processing tasks. It aims to simplify labeling, increase user efficiency, and enhance label quality. KaIDA is available open-source at https://git.scc.kit.edu/sc1357/kaida.
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