Automated Author Profile

Khalzaa, Khulan

Current S-Index

6.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.5

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

65.4%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Photo-Realistic Traffic Scene Datasets: Real and Synthetic Perspectives_Extended Version

This dataset provides a comprehensive collection of traffic scene datasets, categorized into four main groups: Traffic Scene Datasets, Top-View Datasets, MultiHeightView Datasets and Depth Datasets. Dataset includes both real-world and synthetic datasets, designed to support research in robotics, self driving car with computer vision. These datasets are intended to assist in various research areas, such as road user detection, top-view traffic analysis, traffic pattern recognition, depth information extraction, and infrastructure monitoring using aerial views in urban environments. The dataset approach encourages synthetic data utilization in regions with privacy restrictions, where public video recording is legally and culturally constrained. It demonstrates how limited real-world data can be augmented with photorealistic synthetic scenes for research.and vision model training and testing.

Authors

  • Khalzaa, Khulan
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/rynrzt2f6t2025

Photo-Realistic Traffic Scene Datasets: Real and Synthetic Perspectives_Extended Version

This dataset provides a comprehensive collection of traffic scene datasets, categorized into four main groups: Traffic Scene Datasets, Top-View Datasets, MultiHeightView Datasets and Depth Datasets. Dataset includes both real-world and synthetic datasets, designed to support research in robotics, self driving car with computer vision. These datasets are intended to assist in various research areas, such as road user detection, top-view traffic analysis, traffic pattern recognition, depth information extraction, and infrastructure monitoring using aerial views in urban environments. The dataset approach encourages synthetic data utilization in regions with privacy restrictions, where public video recording is legally and culturally constrained. It demonstrates how limited real-world data can be augmented with photorealistic synthetic scenes for research.and vision model training and testing.

Authors

  • Khalzaa, Khulan
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/rynrzt2f6t.12025

Photo-Realistic Traffic Scene Datasets: Real and Synthetic Perspectives

This dataset provides a comprehensive collection of traffic scene datasets, categorized into three main groups: Traffic Scene Datasets, Top-View Datasets, and Depth Datasets. Each group includes both real-world and synthetic datasets, designed to support research in autonomous driving and computer vision. These datasets are intended to assist in various research areas, such as road user detection, top-view traffic analysis, traffic pattern recognition, depth information extraction, and infrastructure monitoring using aerial views in urban environments.

Authors

  • Khalzaa, Khulan
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/tgrhbvgrdc2025

Photo-Realistic Traffic Scene Datasets: Real and Synthetic Perspectives

This dataset provides a comprehensive collection of traffic scene datasets, categorized into three main groups: Traffic Scene Datasets, Top-View Datasets, and Depth Datasets. Each group includes both real-world and synthetic datasets, designed to support research in autonomous driving and computer vision. These datasets are intended to assist in various research areas, such as road user detection, top-view traffic analysis, traffic pattern recognition, depth information extraction, and infrastructure monitoring using aerial views in urban environments.

Authors

  • Khalzaa, Khulan
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/tgrhbvgrdc.12025