Standard DatasetsAsian style Gestures Dataset
Advanced datasets and Generative AI are revolutionizing the fashion and e-commerce industries, providing customized experiences and immersive interactions for shoppers worldwide.Our datasets provide valuable insights into fashion trends, styles, and consumer preferences, enabling businesses to deliver personalized shopping experiences.
The "Asian Style Gestures Dataset" is curated for the visual entertainment industry, featuring a collection of internet-collected images with resolutions ranging from 530 x 360 to 2973 x 3968 pixels. This dataset specializes in annotations of hands displaying Asian style gestures, such as nods, hearts, rock, OK, putting hands together, clasping hands, etc., utilizing bounding boxes and tags for precise identification.
Sample
Specification
Dataset ID
MD-Image-064
Dataset Name
Asian style Gestures Dataset
Data Type
ImageVolume
About 21kk
Data Collection
Internet collected images. Resolution ranges from 530 x 360 to 2973 x 3968.
Annotation
Bounding Box,Tags
Annotation Notes
Annotation of hands with Asian style gestures like nods, hearts, rock, OK,put hands together,clasp hands, etc..
Application Scenarios
Visual Entertainment
Data Collections
This dataset includes around 21k images, each annotated to highlight hands making various Asian-style gestures. The use of bounding boxes and tags allows for accurate recognition and categorization of these gestures, making it an invaluable resource for applications requiring gesture recognition, cultural studies, and the enhancement of interactive content in visual entertainment, such as animations, games, and augmented reality experiences.
Data Applitcation
Visual Entertainment
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
Fashionpedia [Learn more]
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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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