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EasyPortrait - Face Parsing and Portrait Segmentation Dataset
We introduce a large-scale image dataset EasyPortrait for portrait segmentation and face parsing. Proposed dataset can be used in several tasks, such as background removal in conference applications, teeth whitening, face skin enhancement, red eye removal or eye colorization, and so on. EasyPortrait dataset size is about 26GB, and it contains 20 000 RGB images (~17.5K FullHD images) with high quality annotated masks.… See the full description on the dataset page: https://huggingface.co/datasets/gofixyourself/EasyPortrait.
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Our Single-person Portrait Matting Dataset is a pivotal resource for the fashion, media, and social media industries, providing finely labeled portrait images that capture a wide range of postures and hairstyles from various countries. With a focus on high-resolution images exceeding 1080 x 1080 pixels, this dataset is tailored for applications requiring detailed segmentation, including hair, ears, fingers, and other intricate portrait features.
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EasyPortrait is a 26GB large-scale dataset with 20,000 RGB images and high-quality annotated masks for advanced portrait segmentation and face parsing. It supports applications such as background removal, teeth whitening, skin enhancement, red-eye removal, and eye colorization.
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Accurately estimated foreground object in images. Dataset for editing applications for creating visual effects.
Includes 2 folders: - images - original images of faces - masks - matting masks for images
keywords: head segmentation dataset, face-generation, segmentation, human faces, portrait segmentation, human face extraction, image segmentation, annotation, biometric dataset, biometric data dataset, face recognition database, facial recognition, face forgery detection, face shape, ar, augmented reality, face detection dataset, facial analysis, human images dataset, hair segmentation, matting, image matting, computer vision, deep learning, potrait matting, natural image matting
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Peb Ib Leeg Ib Tus Neeg Portrait Matting Dataset yog qhov tseem ceeb rau kev zam, xov xwm, thiab kev tshaj xov xwm kev lag luam, muab cov ntawv sau zoo nkauj zoo nkauj uas ntes tau ntau yam ntawm postures thiab hairstyles los ntawm ntau lub teb chaws. Nrog rau kev tsom mus rau cov duab daws teeb meem siab tshaj 1080 x 1080 pixels, cov ntaub ntawv no yog tsim los rau cov ntawv thov uas xav tau cov ncauj lus kom ntxaws segmentation, suav nrog plaub hau, pob ntseg, ntiv tes, thiab lwm yam sib txawv portrait nta.
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The Rotatable Portrait Display market has emerged as a vital component in various industries, providing unique solutions for dynamic content presentation. These displays, designed for the ability to switch between landscape and portrait orientations, cater to diverse applications ranging from retail advertising to d
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Dataset Card for AISegment.cn - Matting Human datasets
Dataset Description
Quoting the dataset's github (translated by Apple Translator):
This dataset is currently the largest portrait matting dataset, containing 34,427 images and corresponding matting results. The data set was marked by the high quality of Beijing Play Star Convergence Technology Co. Ltd., and the portrait soft segmentation model trained using this data set has been commercialized.
The original images… See the full description on the dataset page: https://huggingface.co/datasets/fredguth/aisegmentcn-matting-human.
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📢 Disclaimer
This dataset was created by Xuebin Qin and collaborators.
I am only re-uploading it to Kaggle for ease of use by the community.
It consists of: - Images for testing the default U2Net model (salient object detection) - Images for testing the U2Net-human model (human segmentation) - Images for testing the U2Net-portrait model (human portrait generation) - The expected result images for each use case using the U2Net / U2NetP models
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The Portrait Photography Services market has seen significant growth and transformation over the years, adapting to the evolving demands of customers and advancements in technology. Portrait photography serves a vital role in capturing the essence of individuals, families, and professionals, offering a means to pres
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A large-scale video portrait dataset that contains 291 videos from 23 conference scenes with 14K frames. This dataset contains various teleconferencing scenes, various actions of the participants, interference of passers-by and illumination change.
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The Portrait Recognition Solar Simulator market is rapidly evolving as a crucial part of the solar energy industry, leveraging advanced portrait recognition technologies to optimize solar panel performance and installation processes. This innovative solution facilitates the identification of ideal solar panel placem
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The Portrait Retouching Software market has experienced significant growth in recent years, driven by the increasing demand for high-quality photographic content across various industries, including fashion, beauty, e-commerce, and social media. This software allows photographers, graphic designers, and content crea
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The global photography services market, valued at $52.23 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 4.2% from 2025 to 2033. This expansion is fueled by several key factors. The rising adoption of smartphones with advanced camera capabilities has democratized photography, leading to increased demand for professional editing, retouching, and printing services. Simultaneously, the booming social media landscape, with platforms like Instagram and TikTok prioritizing visual content, fuels demand for high-quality images for personal and professional branding. Furthermore, the growth of e-commerce necessitates professional product photography, driving market expansion. While increased competition from amateur photographers and readily available editing software could pose a challenge, the ongoing need for specialized skills and high-quality results, particularly in areas like commercial photography and event coverage, ensures the market's continued growth. The market segmentation reveals a diverse landscape, with significant contributions anticipated from various service types such as portrait, wedding, event, and commercial photography. Geographic variations exist, with North America and Europe likely holding the largest market share due to higher disposable incomes and advanced technological adoption. However, developing economies in Asia and other regions present significant growth opportunities as consumer spending power and demand for professional photography increases. Key players like Getty Images, Shutterfly, and others are strategically investing in technological advancements, expanding service offerings, and pursuing mergers and acquisitions to maintain a competitive edge in this dynamic market. The forecast period (2025-2033) is expected to witness continued consolidation and innovation within the industry.
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The medium format lens market, encompassing high-quality lenses for cameras with larger sensors than full-frame, is experiencing steady growth fueled by several key factors. The increasing demand for superior image quality among professional photographers, particularly in landscape, architectural, and portrait photography, is a primary driver. Technological advancements in lens design, leading to improved sharpness, reduced distortion, and enhanced light gathering capabilities, are further boosting market expansion. The rise of digital medium format cameras, offering a compelling alternative to traditional film, is also contributing significantly to market growth. While the exact market size for 2025 is unavailable, considering a reasonable CAGR of 7% and an estimated 2019 market size of $300 million, we can estimate the 2025 market size to be around $450 million. This assumes a relatively consistent growth throughout the historical period. This growth is further substantiated by increasing adoption across various professional segments, fueled by a desire for higher resolution and image fidelity. However, the market faces certain restraints. The high cost of medium format lenses and cameras remains a significant barrier to entry for many photographers. Competition from full-frame systems offering improved affordability and accessibility also poses a challenge. Furthermore, the relatively niche nature of the market limits its overall growth potential compared to mass-market photography segments. Despite these limitations, the ongoing advancements in lens technology, coupled with the persistent demand for exceptional image quality among professional users, point toward continued, albeit moderate, growth in the coming years. Key players like Fujifilm, Hasselblad, and Leica continue to dominate the market through innovation and brand recognition, while smaller manufacturers like TTArtisan and Zhongyi are providing more affordable options, thereby broadening market access. Segmentation analysis reveals significant market share contributions from professional photographers and studios, with other segments like amateurs and enthusiasts representing a smaller, but growing, market share.
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Sawiradu waa internetka Xallintu waxay u dhaxaysaa 1280 x 720 ilaa 2048 x 1080.
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The AI Portrait Generator market is rapidly evolving, driven by advancements in artificial intelligence and machine learning technologies. This innovative segment leverages deep learning algorithms to create stunning, lifelike portraits from simple inputs, opening new avenues for artists, businesses, and individuals
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Avy amin'ny aterineto ny sary. Ny fanapahan-kevitra dia manomboka amin'ny 1280 x 720 ka hatramin'ny 2048 x 1080.
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The global stock photo market is a dynamic and rapidly expanding sector, projected to experience substantial growth over the next decade. While precise figures for market size and CAGR were not provided, leveraging industry reports and trends, a reasonable estimation can be made. Assuming a current market size (2025) of approximately $5 billion USD and a conservative Compound Annual Growth Rate (CAGR) of 8%, the market is poised for significant expansion. This growth is fueled by several key drivers: the increasing demand for high-quality visual content across various platforms (websites, social media, advertising, etc.), the rising adoption of digital marketing strategies, and the continuous improvement in image search and retrieval technologies. Furthermore, the ease of access to stock photography through subscription-based platforms and microstock agencies has democratized access to professional-grade imagery for both individuals and businesses. Several trends are shaping the market's future trajectory. The increasing popularity of mobile photography and user-generated content is creating a larger pool of available images. Simultaneously, the demand for more diverse and inclusive imagery is rising, pushing stock photo providers to broaden their offerings. However, challenges remain. Copyright issues, the proliferation of low-quality images, and competition among numerous providers are some of the restraining factors impacting market growth. Segmentation reveals that portrait, fashion, and editorial photography remain highly sought-after categories, while the application of stock photos in advertising and website building constitutes significant revenue streams. Key players like Getty Images, Shutterstock, and Adobe maintain dominant market positions, but emerging platforms and independent photographers are also contributing to the market's complexity and dynamic nature.
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The pet photography market is experiencing robust growth, driven by increasing pet ownership, rising disposable incomes, and a growing desire among pet owners to commemorate their beloved companions. The market's emotional connection to pet owners fuels demand for high-quality, personalized pet photography services, extending beyond simple snapshots to encompass artistic, life-style, and professional shoots. While precise market size data is unavailable, considering the strong growth trends in related sectors like pet care and the increasing popularity of social media pet profiles, a reasonable estimate for the 2025 market size could be $500 million. Assuming a conservative Compound Annual Growth Rate (CAGR) of 10% (a figure that reflects moderate but steady expansion in line with overall consumer spending on pets), the market is projected to reach approximately $800 million by 2033. This growth is fueled by several key drivers, including the increasing humanization of pets, the rise of social media platforms like Instagram which showcase pet photography, the expansion of professional pet photography studios offering specialized services (like underwater or themed shoots), and growing consumer preference for unique and personalized products (custom calendars, pet portraits). Market segmentation reveals strong demand across both personal and commercial applications. Personal pet photography remains the largest segment, driven by individual pet owners' desire for lasting memories. However, the commercial segment, encompassing pet-related businesses utilizing professional photography for marketing and branding purposes, is also growing rapidly. Further segmentation by photography type (life photography, art photography, professional photography) reflects the market's diverse offering and caters to a broad spectrum of consumer preferences and budget levels. While challenges such as economic downturns and competition from amateur photographers exist, the overall market outlook remains positive, driven by the enduring bond between humans and their pets and the continued innovation within the pet photography industry. Geographic distribution shows robust growth across North America and Europe, with significant emerging markets in Asia-Pacific and other developing regions.
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Litšoantšo li tsoa inthaneteng. Qeto e fapana ho tloha ho 1280 x 720 ho isa ho 2048 x 1080.
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EasyPortrait - Face Parsing and Portrait Segmentation Dataset
We introduce a large-scale image dataset EasyPortrait for portrait segmentation and face parsing. Proposed dataset can be used in several tasks, such as background removal in conference applications, teeth whitening, face skin enhancement, red eye removal or eye colorization, and so on. EasyPortrait dataset size is about 26GB, and it contains 20 000 RGB images (~17.5K FullHD images) with high quality annotated masks.… See the full description on the dataset page: https://huggingface.co/datasets/gofixyourself/EasyPortrait.