Summary of Rapid Object Annotation, by Misha Denil
Rapid Object Annotation
by Misha Denil
First submitted to arxiv on: 26 Jul 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed paper presents a user interface (UI) and workflow aimed at efficiently annotating videos with bounding boxes for a novel object. The authors focus on developing a solution that can be applied to any new target, not requiring prior knowledge of the object or its appearance. The UI is designed to facilitate rapid annotation by providing an intuitive environment for users to specify bounding boxes. The workflow is expected to streamline the process, allowing annotators to quickly identify and label novel objects in videos. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper develops a system that helps people quickly draw boxes around new things they see in videos. It’s like using a special tool to make it easy to find and mark unusual objects on film. The goal is to make this task faster and more efficient, so that people can focus on other important work. |
