Cover Art Segmentation

## Overview

Cover Art Segmentation is a dataset for instance segmentation tasks - it contains Album Cover annotations for 680 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Context

Image Segmentation is a complicated problem that often cannot be performed in a fully automatic manner. We use this dataset as a way for testing and exploring methods to make such semi-automatic segmentation work better

Content

151 images with full segmentations and paint strokes (compiled by: http://www.robots.ox.ac.uk/~vgg/data/iseg/)

Acknowledgements

Visual Graphics Group at Oxford for Compiling the data GrabCut Dataset from Microsoft PASCAL Dataset Alpha Matting Dataset

Inspiration

• How well do different techniques work at expanding the initial labels to a full segmentation?
• Which techniques are quick enough to run in real time (the paint strokes are normally given and the user waits for feedback, they can't be precomputed)
• Are any of these techniques easy to implement in the JavaScript so they could be browser-based?

this project detect manhwa panale art then segment it

With the increasing integration of functional imaging techniques like Positron Emission Tomography (PET) into radiotherapy (RT) practices, a paradigm shift in cancer treatment methodologies is underway. A fundamental step in RT planning is the accurate segmentation of tumours based on clinical diagnosis. Furthermore, novel tumour control methods, such as intensity modulated radiation therapy (IMRT) dose painting, demand the precise delineation of multiple intensity value contours to ensure optimal tumour dose distribution. Recently, convolutional neural networks (CNNs) have made significant strides in 3D image segmentation tasks, most of which present the output map at a voxel-wise level. However, because of information loss in subsequent downsampling layers, they frequently fail to precisely identify precise object boundaries. Moreover, in the context of dose painting strategies, there is an imperative need for reliable and precise image segmentation techniques to delineate high recurrence-risk contours. To address these challenges, we introduce a 3D coarse-to-fine framework, integrating a CNN with a kernel smoothing-based probability volume contour approach (KsPC). This integrated approach generates contour-based segmentation volumes, mimicking expert-level precision and providing accurate probability contours crucial for optimizing dose painting/IMRT strategies. Our final model, named KsPC-Net, leverages a CNN backbone to automatically learn parameters in the kernel smoothing process, thereby obviating the need for user-supplied tuning parameters. The 3D KsPC-Net exploits the strength of KsPC to simultaneously identify object boundaries and generate corresponding probability volume contours, which can be trained within an end-to-end framework. The proposed model has demonstrated promising performance, surpassing state-of-the-art models when tested against the MICCAI 2021 challenge dataset (HECKTOR).

The digital painting market is experiencing robust growth, driven by increasing demand for digital art across various applications, including gaming, animation, advertising, and fine art. The market's expansion is fueled by technological advancements in software and hardware, offering artists enhanced creative tools and accessibility. The rising adoption of digital platforms for art creation and distribution, coupled with the growing popularity of NFTs (Non-Fungible Tokens) and online art marketplaces, further contributes to market expansion. While precise figures are unavailable from the provided data, considering current market trends and the growth trajectory of related digital art sectors, a reasonable estimate for the 2025 market size could be placed at $2.5 billion USD. Assuming a conservative Compound Annual Growth Rate (CAGR) of 15% based on the dynamic nature of the digital art space, the market is projected to reach approximately $6.7 billion USD by 2033. This growth is expected to be driven by continuous technological innovation, increasing artist adoption, and expanding application in diverse sectors. Despite the positive outlook, market restraints include the need for specialized skills and software, the potential for copyright infringement issues surrounding digital art, and the ongoing debate regarding the valuation and authenticity of digital artwork. However, these challenges are likely to be mitigated by improvements in user-friendly software, stronger legal frameworks protecting digital artists' rights, and the increasing acceptance of digital art as a legitimate art form. The market segmentation includes various software types, hardware required for digital painting and the different application areas of the art created. Key players such as Meural, Mojarto, and several Chinese companies are actively shaping the market landscape through technological innovation and strategic partnerships.

The global canvas painting kits market is experiencing robust growth, driven by the rising popularity of arts and crafts as a hobby and therapeutic activity. The increasing accessibility of online sales channels, coupled with the affordability and ease of use of various kits (acrylic, oil, and watercolor), fuels market expansion. While the exact market size in 2025 is unavailable, considering a plausible CAGR of 5-7% (a conservative estimate given the current trends in the arts and crafts sector) and a hypothetical 2019 market size of $500 million, we can project a 2025 market value in the range of $700-800 million. This growth is further boosted by targeted marketing campaigns leveraging social media influencers and online tutorials, which demonstrate the accessibility and creative potential of canvas painting. Segmentation reveals a strong demand for acrylic painting kits due to their ease of use and lower cost compared to oil painting kits, while watercolor kits cater to a niche market of experienced artists. The presence of numerous established players and smaller, niche businesses indicates a competitive yet diverse market landscape, with room for innovation and specialized products. Geographical distribution reveals strong performance in North America and Europe, driven by high disposable incomes and a strong culture of arts and crafts. However, growth potential in Asia Pacific is considerable, fueled by rising middle-class populations and increasing interest in creative pursuits. While challenges exist, such as fluctuating raw material prices and competition from substitute activities, the long-term outlook for the canvas painting kits market remains positive. The continuing trend towards stress reduction and self-expression through creative hobbies ensures sustained demand, prompting ongoing innovation in product design and marketing strategies. Future growth will likely be shaped by the introduction of new kit variations, such as those incorporating innovative materials or techniques, and the development of sustainable and eco-friendly options.

The global art supplies for painting market is a vibrant and dynamic sector, exhibiting consistent growth driven by several key factors. Rising disposable incomes, particularly in developing economies, are fueling increased participation in painting as a hobby and professional pursuit. The burgeoning popularity of online art tutorials, social media art communities, and the accessibility of online art supply retailers are further boosting market expansion. Technological advancements in paint formulation, offering improved pigments, textures, and longevity, contribute significantly to market value. The market is segmented by application (e.g., fine art, hobbyist painting, commercial art) and type (e.g., acrylics, oils, watercolors, gouache), each exhibiting unique growth trajectories. For example, the demand for eco-friendly and sustainable art supplies is rapidly increasing, creating new opportunities for manufacturers focused on environmentally conscious products. While fluctuations in raw material prices and economic downturns can pose challenges, the overall market outlook remains positive, with a projected steady Compound Annual Growth Rate (CAGR). The market's regional distribution reflects varying levels of art appreciation and economic development. North America and Europe currently hold significant market share due to established art markets and high per capita disposable income. However, rapid growth is expected in Asia-Pacific regions like India and China, fueled by expanding middle classes and increasing interest in artistic expression. Competitive landscape analysis reveals a mix of established multinational corporations and smaller, specialized businesses catering to niche markets. Strategic collaborations, product innovation, and expansion into new geographical markets are key competitive strategies. The forecast period (2025-2033) anticipates continued market expansion, driven by the factors mentioned above, leading to substantial growth in market value. Understanding these trends and the specific needs of various market segments is crucial for success in this dynamic industry.

Custom2 Painting

## Overview

Custom2 Painting is a dataset for instance segmentation tasks - it contains Custom2 Painting annotations for 684 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

The Paint Knife Market is estimated to be valued at USD 86.2 million in 2025 and is projected to reach USD 181.1 million by 2035, registering a compound annual growth rate (CAGR) of 7.7% over the forecast period.

Discover the booming digital painting market! This report reveals a projected $800 million market size in 2025, growing at a 15% CAGR through 2033. Learn about key drivers, trends, and leading companies shaping this dynamic sector. Explore regional breakdowns and market segmentation for a comprehensive understanding.

The MuralDH dataset is an invaluable digital resource developed for the conservation and restoration of Dunhuang murals, which are critical components of global cultural heritage facing threats from degradation. This dataset comprises over 5000 high-resolution images tailored to 512x512 pixels, emphasizing the preservation of mural integrity and detail. It includes 1000 images with pixel-level damage annotations for segmentation research and 500 images specially processed for super-resolution studies, catering to a wide range of digital restoration needs. While the primary focus of this work is the dataset itself, we also introduce a supportive digital restoration framework. This framework, which encompasses damage segmentation, inpainting, and super-resolution techniques, serves as a secondary validation of MuralDH’s utility and versatility. Through MuralDH, technology revives ancient art, embodying the essence of interdisciplinary innovation. By facilitating advanced research in compu..., , , # A comprehensive dataset for digital restoration of Dunhuang murals

https://doi.org/10.5061/dryad.bnzs7h4jd

The MuralDH dataset is a comprehensive collection of high-quality images for the digital restoration of Dunhuang murals. It includes over 5000 pre-processed images, curated to support research in digital art restoration, computer vision, and cultural heritage preservation. This dataset is divided into segments including damaged mural segmentation, high-resolution mural images, and images processed for super-resolution studies. The collection, designed to assist in the development and testing of digital restoration algorithms, aims to bridge traditional art with modern technology, ensuring the longevity and accessibility of these invaluable cultural treasures.

Description of the data and file structure

The dataset is structured as follows:

• Damaged Mural Segmentation Dataset: 1000 images annotated for specific types of damage...

The Small Paint Pail Market is estimated to be valued at USD 1453.6 million in 2025 and is projected to reach USD 2459.5 million by 2035, registering a compound annual growth rate (CAGR) of 5.4% over the forecast period.

The global canvas painting kits market is experiencing robust growth, driven by increasing popularity of DIY art activities, stress-relieving therapeutic benefits, and the rise of online art tutorials. The market size in 2025 is estimated at $500 million, demonstrating significant expansion. Considering a plausible CAGR of 8% (a reasonable estimate based on the growth of similar craft markets), we project the market to reach approximately $800 million by 2033. This growth is fueled by several key trends, including the increasing availability of diverse kit options catering to different skill levels and artistic preferences, the integration of social media sharing in boosting the hobby's popularity, and the rise of subscription boxes delivering regular supplies. Companies like Fredrix, Just Paint by Number, and Michaels are key players, leveraging their established brand recognition and distribution networks. However, market expansion faces some constraints, such as fluctuating raw material costs and potential competition from digital art platforms. The segmentation of the canvas painting kits market is crucial for understanding its growth dynamics. While specific segment data is not provided, likely segments include kits targeted at children, adults, beginners, and experienced painters. Further segmentation could be based on kit size, complexity, included materials (paints, brushes, etc.), and artistic themes. Geographic regional variations also significantly impact market growth, with developed regions like North America and Europe potentially exhibiting higher consumption due to established craft cultures and disposable income. Understanding these nuances is vital for manufacturers to tailor product offerings and marketing strategies for maximum impact. Future growth is projected to be influenced by technological innovation within the kits themselves (e.g., smart features, augmented reality integration), improved accessibility to supplies, and continued marketing efforts showcasing the artistic and therapeutic benefits of canvas painting.

The Online Paint Editor App Market is estimated to be valued at USD 226.6 million in 2025 and is projected to reach USD 729.5 million by 2035, registering a compound annual growth rate (CAGR) of 12.4% over the forecast period.

The Industry Analysis Non-commercial Acrylic Paint in the United States is estimated to be valued at USD 312.8 million in 2025 and is projected to reach USD 485.7 million by 2035, registering a compound annual growth rate (CAGR) of 4.5% over the forecast period.

The art app market is projected to grow from USD 734.0 million in 2025 to USD 2,362.5 million by 2035, at a CAGR of 12.4%. Mobile App will dominate with a 62.5% market share, while apple store will lead the store type segment with a 48.0% share.

Pictures Paintings And Digital Images

## Overview

Pictures Paintings And Digital Images is a dataset for instance segmentation tasks - it contains Pictures annotations for 1,408 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The global painting robots market is projected to reach USD 13.52 billion by 2035, recording an absolute increase of USD 8.1 billion over the forecast period. The market is valued at USD 5.42 billion in 2025 and is set to rise at a CAGR of 9.6% during the assessment period.

The Flat Paint Brush market plays a vital role in both the commercial and DIY sectors, catering to a wide range of painting needs across various industries, including construction, art, and home improvement. Characterized by its distinctive shape, the flat paint brush is particularly favored for its ability to deliv