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Current Trends and Future Directions of Large Scale Image and Video Annotation: Observations[...]
5. Conclusion
2.1. Video Annotation
2.2. Gigapixel Image Annotation
2.3. Machine Learning Assisted Image Annotation
2.4. Mobility and Affordability
2.5. Application Instance Federation
2.6. Label Tree Collaboration
3. Results
3.1. Development of Usage
3.2. Popular Annotation Shapes
3.3. Video Annotation Types
3.4. Average Annotation Time
3.5. Collaboration
3.6. Use of Automated Assistance
4. Discussion
5. Conclusion
Data Availability Statement
Author Contributions
Funding
Acknowledgments
Supplementary Material
References
Aufsatz in einer Zeitschrift
Current Trends and Future Directions of Large Scale Image and Video Annotation: Observations From Four Years of BIIGLE 2.0
Entstehung
2021
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