IAdet: Simplest human-in-the-loop object detection

IAdet: Simplest human-in-the-loop object detection

This work proposes a strategy for training models while annotating data named Intelligent Annotation (IA). IA involves three modules: (1) assisted data annotation, (2) background model training, and (3) active selection of the next datapoints. Under this framework, we open-source the IAdet tool, whi...

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Hauptverfasser: Marchesoni-Acland, Franco, Facciolo, Gabriele
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Computer Science - Artificial Intelligence
Computer Science - Computer Vision and Pattern Recognition
Computer Science - Human-Computer Interaction
Computer Science - Learning
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Facciolo, Gabriele
description This work proposes a strategy for training models while annotating data named Intelligent Annotation (IA). IA involves three modules: (1) assisted data annotation, (2) background model training, and (3) active selection of the next datapoints. Under this framework, we open-source the IAdet tool, which is specific for single-class object detection. Additionally, we devise a method for automatically evaluating such a human-in-the-loop system. For the PASCAL VOC dataset, the IAdet tool reduces the database annotation time by $25\%$ while providing a trained model for free. These results are obtained for a deliberately very simple IAdet design. As a consequence, IAdet is susceptible to multiple easy improvements, paving the way for powerful human-in-the-loop object detection systems.
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Computer Science - Computer Vision and Pattern Recognition
Computer Science - Human-Computer Interaction
Computer Science - Learning
title IAdet: Simplest human-in-the-loop object detection
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