Sky Outline Matting Dataset

Home » Case Study » Sky Outline Matting Dataset

Project Overview:

Objective

We are proud to present our latest project: the Sky Outline Matting Dataset. This dataset is carefully made to improve sky matting skills, which are very important in sky replacement, environmental simulation, and the film industry. Also, it not only makes sky replacement more accurate but also makes environmental simulations look more real. This way, filmmakers can create more believable sky scenes easily. Additionally, our dataset is a strong base for developers working on augmented reality apps.

Scope

Our team embarked on a mission to gather a diverse range of images, focusing specifically on horizons and skies. This collection was meticulously annotated to distinguish sky regions, showcasing our expertise in dataset creation for machine learning models.

Sources

Urban cityscapes featuring towering architecture.
Idyllic rural settings.
Tranquil beach vistas.
Rugged mountain landscapes.
Breathtaking sunsets and sunrises.
Mystical night skies, both with and without celestial bodies.

Data Collection Metrics

Total Images: 80,000
Cityscapes: 20,000
Rural Landscapes: 15,000
Beach Horizons: 12,000
Mountainous Terrains: 18,000
Sunsets/Sunrises: 10,000
Night Skies: 5,000

Annotation Process

Stages

Image Pre-processing: Enhancing image quality to clearly demarcate the sky region.
Sky Region Identification: Using advanced tools to precisely highlight the sky area.
Matting Annotation: Accurately defining the boundaries of the sky, including semi-translucent parts.
Validation: Thoroughly cross-checking with automated tools and manual reviews.

Annotation Metrics

Total Sky Boundary Pixels Annotated: 160 million
Fully Opaque Sky Pixels: 120 million
Semi-Translucent Sky Pixels: 40 million

Quality Assurance

Stages

Automated Matting Tools: We leverage advanced technology to validate our work efficiently.
Expert Review: We engage industry specialists to oversee and manage complex cases thoroughly.
Inter-annotator Agreement: We ensure consistency across different annotators to maintain high-quality standards.

QA Metrics

Annotations Reviewed by Experts: 3 million pixels
Inconsistencies Identified and Rectified: 600,000 pixels

Conclusion

The Sky Outline Matting Dataset is a pioneering resource for sky segmentation tasks. It supports advancements in graphics, film production, and simulation tools. Moreover, with careful annotation and validation processes, the dataset ensures exceptional accuracy and precision. Therefore, users can rely on its high-quality data for their projects. Additionally, the dataset’s meticulous design sets a new standard in the field.