Standard DatasetsOutdoor Building Panoptic Segmentation Dataset
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The "Outdoor Building Panoptic Segmentation Dataset" is curated for the visual entertainment industry, consisting of a collection of internet-collected outdoor images with high resolutions exceeding 3024 x 4032 pixels. This dataset focuses on panoptic segmentation, capturing every identifiable instance within the outdoor scenes, including buildings, roads, people, cars, and more, providing a comprehensive dataset for detailed environmental analysis and creation.
Sample
Specification
Dataset ID
MD-Image-089
Dataset Name
Outdoor Building Panoptic Segmentation Dataset
Data Type
ImageVolume
About 1k
Data Collection
Internet collected images. Resolution is over 3024x 4032.
Annotation
Panoptic Segmentation
Annotation Notes
This dataset contains outdoor scenes with panoptic segmentation of all identifiable instances in images including buildings, roads, people, cars, etc.
Application Scenarios
Visual Entertainment
Data Collections
This dataset includes approximately 1k images, each featuring detailed panoptic segmentation of various elements found in outdoor environments, particularly focusing on architectural structures. The extensive segmentation of buildings alongside other environmental components such as vehicles, pedestrians, and infrastructure, offers invaluable data for applications in visual entertainment, including the development of realistic outdoor environments for video games, film production, and augmented reality experiences, enhancing the authenticity and immersion of digital content.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
Fashionpedia [Learn more]
This dataset includes 48,825 clothing images annotated with segmentation masks and fine-grained attributes, built upon an expertly crafted ontology that encompasses 27 main apparel categories and 19 apparel parts. It's designed to advance tasks combining both detection and attributes classification in the fashion domain.
DeepFashion2 [Learn more]
A comprehensive fashion dataset containing 491K images of 13 popular clothing categories from both commercial and consumer sources. Each item is meticulously labeled with attributes such as scale, occlusion, viewpoint, category, and style, making it a versatile benchmark for clothing image understanding.
DeepFashion [Learn more]
This dataset boasts around 800K diverse fashion images with rich annotations, including 46 categories, 1,000 descriptive attributes, bounding boxes, and landmark information. The variety ranges from well-posed product images to consumer photos, providing a broad spectrum for fashion image analysis.
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