Quality Dataset Annotation is a scholarly dataset contribution that specifically involves the systematic labeling and categorization of retinal image quality attributes to enable standardized evaluation and benchmarking within retinal image analysis research.
3
Publications
673
Citations
11
Authors
7
Institutions
Publications per year
2017–2026
2
Parents
Publications
3
A fine-grained dataset for sewage outfalls objective detection in natural environments
Yuqing Tian, Ning Deng, Jie Xu et al. · Scientific Data · 2024 · 16 citations · Full text
1–5 of 3
Authors
11
- AF
1
h-index
- JM
1
h-index
- SH
1
h-index
- UK
1
h-index
- RF
1
h-index
1–5 of 11
Institutions
7
New York University
New York, United States
1 h-index
1 publications
595 citations
Brigham Young University - Idaho
Rexburg, United States
1 h-index
1 publications
595 citations
California Institute of Technology
Pasadena, United States
1 h-index
3 publications
1.8K citations
Cornell Lab of Ornithology
Ithaca, United States
1 h-index
2 publications
1.2K citations
Cornell University
Ithaca, United States
1 h-index
3 publications
1.8K citations
Daimler (Germany)
Stuttgart, Germany
1 h-index
2 publications
118 citations
Universität Ulm
Ulm, Germany
1 h-index
2 publications
118 citations
North South University
Dhaka, Bangladesh
1 publications
19 citations
1–8 of 7
Venues
- Scientific Data
1 publications · 16 citations
- 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Conference · 1 publications · 10 citations
1–2