Analyze the market segmentation of the Paints and Coatings industry. Gain insights into market share distribution with a detailed breakdown of key segments and their growth.

Dataset

This dataset was created by Shashil

Contents

Welcome to InkCanvas, a groundbreaking dataset designed to push the boundaries of image segmentation and machine learning. This unique collection showcases a diverse array of tattoo images, ranging from intricate ink ****designs to masterpieces of body art. The challenge at hand is to precisely extract these tattoos using state-of-the-art image segmentation and machine learning or deep learning techniques.

InkCanvas provides a wealth of tattoo images, capturing various styles, sizes, and placements on the body. Whether you are an AI researcher, computer vision enthusiast, or a developer eager to advance the field of image processing, this dataset offers an exceptional opportunity to hone your skills and contribute to the world of tattoo art.

Challenge Highlights:

Diverse Tattoo Styles: InkCanvas features tattoos of all styles, including traditional, modern, black and gray, watercolor, and more.

Varied Body Placements: Tattoos appear on different body parts, challenging algorithms to adapt and extract accurately.

Complex Backgrounds: Some tattoos are embedded within intricate backgrounds, putting segmentation techniques to the test.

Real-World Variation: Images include real-world lighting conditions, skin tones, and artistic nuances, simulating the complexity of the tattoo extraction task in real scenarios.

Precise Extraction: The goal is to achieve pixel-perfect extraction of tattoos, ensuring minimal false positives and negatives.

Engage in the InkCanvas challenge and take the opportunity to develop cutting-edge solutions that bridge the worlds of art and technology. Join us in exploring the extraordinary artistry of tattoos and unlocking their beauty through precise image segmentation and machine learning techniques.

Here are a few use cases for this project:

1. Aviation Maintenance: The model can be used to automate the inspection routine of aircraft cockpits and other parts of the aircraft, detecting those five common structural damages. Early detection and subsequent repair can contribute to safer and more efficient aviation operations.

2. Automobile Industry: The AI model can be applied to assess and inspect the condition of cars in production lines or used cars, identifying any imperfections such as dents, cracks, scratches or paint-offs before the car goes to market.

3. Building Inspection: In civil engineering, the model could be used to monitor the structural health of buildings or bridges, using the crack and dent detection capabilities to timely identify potential structural issues.

4. Insurance Claim Processing: Insurance companies could use this model to streamline their claim processing by automatically identifying damage in pictures of insured properties like cars, homes or commercial properties, that have been submitted for claims.

5. Artwork Preservation: Art galleries and museums could use this model to identify early signs of damage on art pieces (paint-off or cracks) and take preventative measures to help save valuable pieces of art.

The "Nails Contour Segmentation Dataset" is crafted for the beauty industry, featuring a collection of offline human fingernail images, all at a uniform resolution of 1920 x 1080 pixels. This dataset specializes in semantic segmentation, with a focus on the detailed contour of fingernails, supporting applications in nail art design and virtual nail try-on technologies.

By Product Type:The India paints & coatings market is segmented by product type into decorative paints, industrial coatings and specialty coatings. In 2023, decorative paints reign as the most dominant sub-segment, holding a substantial market share. Decorative paints dominate the market due to the high demand for residential and commercial applications, driven by the increasing urban population and real estate developments. The India Paints & Coatings Market can be segmented based on several factors: India Paint & Coating Market Segmentation The Western region of India, particularly Maharashtra and Gujarat, dominates the Paints & Coatings market. These states have a high concentration of industrial activities, robust infrastructure, and significant residential and commercial construction projects.

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...

By Technology:The India paints & coatings market is segmented by technology into water-based coatings, solvent based coatings and powder coatings. In 2023, Water-based Coatings emerges as the most dominant sub-segment, commanding a significant percentage of the market share. Water-based coatings lead the market due to their lower environmental impact and compliance with regulatory standards. By Product Type:The India paints & coatings market is segmented by product type into decorative paints, industrial coatings and specialty coatings. In 2023, decorative paints reign as the most dominant sub-segment, holding a substantial market share. Decorative paints dominate the market due to the high demand for residential and commercial applications, driven by the increasing urban population and real estate developments. The India Paints & Coatings Market can be segmented based on several factors: India Paint & Coating Market Segmentation The Western region of India, particularly Maharashtra and Gujarat, dominates the Paints & Coatings market. These states have a high concentration of industrial activities, robust infrastructure, and significant residential and commercial construction projects.

Explore the detailed segmentation analysis of the Thermoplastic Polyurethane Paint Protection Film market. Understand detailed breakdown for each segment and uncover market opportunities.

We propose an approach to domain adaptation for semantic segmentation that is both practical and highly accurate. In contrast to previous work, we abandon the use of computationally involved adversarial objectives, network ensembles and style transfer. Instead, we employ standard data augmentation techniques − photometric noise, flipping and scaling − and ensure consistency of the semantic predictions across these image transformations. We develop this principle in a lightweight self-supervised framework trained on co-evolving pseudo labels without the need for cumbersome extra training rounds. Simple in training from a practitioner's standpoint, our approach is remarkably effective. We achieve significant improvements of the state-of-the-art segmentation accuracy after adaptation, consistent both across different choices of the backbone architecture and adaptation scenarios.

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Robotic Paint Booth Market Size 2024-2028

The robotic paint booth market size is forecast to increase by USD 1.31 billion at a CAGR of 5.83% between 2023 and 2028. The market is experiencing significant growth due to the increasing emphasis on worker safety and environmental compliance in paint application processes. Robotics technology is revolutionizing paint booths by automating complex painting tasks, reducing production times, and enhancing quality control. Advanced ventilation systems are being integrated into robotic painting systems to minimize Volatile Organic Compounds (VOC) emissions, aligning with stringent environmental regulations. AI technologies, such as defect detection, are also being incorporated to improve overall efficiency and maintain consistent product quality. Both downdraft and sidedraft booths are benefiting from these advancements, providing a safer and more productive work environment for industrial workers.

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The industrial painting industry continues to evolve, with a growing emphasis on precision, consistency, and efficiency. Robotic paint booths have emerged as a key technology in addressing these requirements, revolutionizing painting operations for various industries. Robotic paint booths are automated devices designed to apply priming, coating, and finishing solutions to intricate parts and complex surfaces. These booths utilize advanced robotics technology to ensure accurate spray patterns and uniform film thickness, leading to superior finish quality. Spray water and solvent-based or powder materials are used in these applications. Robotic paint booths enable the automation of industrial IoT systems, ensuring precise control over painting processes. This results in reduced production times and improved overall efficiency. Precision is a critical aspect of robotic paint booths. The technology enables the application of paint to curves and intricate parts with minimal overspray, ensuring a consistent finish.

Moreover, worker safety is enhanced as robots perform the hazardous tasks associated with painting operations. Environmental compliance is another significant benefit of robotic paint booths. These systems minimize the use of solvents and water, reducing the environmental footprint of painting processes. Furthermore, they ensure effective containment of overspray, preventing pollution and ensuring regulatory compliance. Robotic paint booths are ideal for industries that require high-quality finish coats, such as automotive, aerospace, and electronics manufacturing. The technology is particularly useful for applications where complex painting tasks need to be performed with minimal human intervention. Spray dispensing in robotic paint booths is optimized for both water and powder materials. The technology ensures precise control over the amount and distribution of paint, resulting in a uniform finish. This leads to cost savings through reduced material waste and improved production efficiency. In conclusion, robotic paint booths represent a significant advancement in industrial painting processes. They offer numerous benefits, including precision, consistency, efficiency, and environmental compliance.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Paint booths
  Paint robots


End-user

  Automotive
  Non-automotive


Geography

  APAC

    China
    India
    Japan


  Europe

    Germany


  North America

    US


  South America



  Middle East and Africa

By Product Insights

The paint booths segment is estimated to witness significant growth during the forecast period. Paint booth systems, also referred to as crossdraft or automatic booths, are essential structures used in various industries for applying primer, base coat, clear coat, and finish coat to components without external contamination. These mechanical devices come in different sizes to accommodate a wide range of products, from intricate furniture parts to large aircraft and spaceships. Integration of multiple paint robots within the booths enhances automation and flexibility. Regulations mandating proper ventilation in industrial facilities are fueling the adoption of paint booths. Automatic and semi-automatic booths are increasingly popular due to their ability to handle a vast array of products efficiently and effectively.

Further, the paint booth market encompasses various types of paint booths, including spray-painting booths and exhaust systems. The integration of advanced technologies, such as water and powder paint dispensing systems, further enhances the capabilities of these structures. In summary, paint booths are crucial structures used in various industries fo

Explore the detailed segmentation analysis of the Assisted Reproductive Technology (ART) market. Understand detailed breakdown for each segment and uncover market opportunities.

Organ segmentation has become a preliminary task for computer-aided intervention, diagnosis, radiation therapy, and critical robotic surgery. Automatic organ segmentation from medical images is a challenging task due to the inconsistent shape and size of different organs. Besides this, low contrast at the edges of organs due to similar types of tissue confuses the network’s ability to segment the contour of organs properly. In this paper, we propose a novel convolution neural network based uncertainty-driven boundary-refined segmentation network (UDBRNet) that segments the organs from CT images. The CT images are segmented first and produce multiple segmentation masks from multi-line segmentation decoder. Uncertain regions are identified from multiple masks and the boundaries of the organs are refined based on uncertainty data. Our method achieves remarkable performance, boasting dice accuracies of 0.80, 0.95, 0.92, and 0.94 for Esophagus, Heart, Trachea, and Aorta respectively on the SegThor dataset, and 0.71, 0.89, 0.85, 0.97, and 0.97 for Esophagus, Spinal Cord, Heart, Left-Lung, and Right-Lung respectively on the LCTSC dataset. These results demonstrate the superiority of our uncertainty-driven boundary refinement technique over state-of-the-art segmentation networks such as UNet, Attention UNet, FC-denseNet, BASNet, UNet++, R2UNet, TransUNet, and DS-TransUNet. UDBRNet presents a promising network for more precise organ segmentation, particularly in challenging, uncertain conditions. The source code of our proposed method will be available at https://github.com/riadhassan/UDBRNet.

Market.us announces the publication of its most recently generated research report titled, “Global Painting Machines Market by Product Type (Paint Sprayers and Automatic Painting Machine), By Application (Industrial Production, Automobile & Aerospace Industry, Furniture & Decoration, Architecture), and by Region – Global Forecast to 2028.”, which offers a holistic view of the global painting machines market through systematic segmentation that covers every aspect of the target market.

The global painting machine market is projected to be US$ 2,792.4 Mn in 2021 to reach US$ 4,888.4 Mn by 2028 at a CAGR of 8.1%. Read More

In 2023, the architectural segment contributed around 46.2 billion U.S. dollars to the global paints and coatings industry. In comparison, the automotive segment contributed around 12.2 billion U.S. dollars to the industry. The contribution from both these segments is forecast to increase in the coming years.
Additional information on the global paints and coatings market can be found here.

Auction sale catalogues macro segmentation

Document layout analysis dataset for segmenting the macro structure of sale catalogues.

We follow SegmOnto controlled vocabulary (https://segmonto.github.io/) and the COLaF (Inria, ALMAnaCH and Multispeech) schema.

Dataset

Two random folio have been selected from 8 auction sale catalogues collections, kept in the national library of France (Bibliothèque nationale de France, BnF), and the national institute for art history (Institut national d'histoire de l'art, INHA).

• Bienaimé-Feuardent (BnF)
• Bourgey (BnF)
• Dubois (BnF)
• Naville (BnF)
• Rollin (BnF)
• XVIIIe (BnF)
• Desvouges (INHA)
• Lair-Dubreuil (INHA)

Abstract

This paper presents SubPipe, an underwater dataset for SLAM, object detection, and image segmentation. SubPipe has been recorded using a lightweight autonomous underwater vehicle (LAUV), operated by OceanScan MST, and carrying a sensor suite including two cameras, a side-scan sonar, and an inertial navigation system, among other sensors. The AUV has been deployed in a pipeline inspection environment with a submarine pipe partially covered by sand. The AUV's pose ground truth is estimated from the navigation sensors. The side-scan sonar and RGB images include object detection and segmentation annotations, respectively. State-of-the-art segmentation, object detection, and SLAM methods are benchmarked on SubPipe to demonstrate the dataset's challenges and opportunities for leveraging computer vision algorithms.To the authors' knowledge, this is the first annotated underwater dataset providing a real pipeline inspection scenario. The dataset and experiments are publicly available online.

On Zenodo we provide three versions for SubPipe. One is the full version (SubPipe.zip, ~80GB unzipped) and two subsamples: SubPipeMini.zip, ~12GB unzipped and SubPipeMini2.zip, ~16GB unzipped. Both subsamples are only parts of the entire dataset (SubPipe.zip). SubPipeMini is a subset, containing semantic segmentation data, and it has interesting camera data of the underwater pipeline. On the other hand, SubPipeMini2 is mainly focused on underwater side-scan sonar images of the seabed including ground truth object detection bounding boxes of the pipeline.

For (re-)using/publishing SubPipe, please include the following copyright text:

SubPipe is a public dataset of a submarine outfall pipeline, property of Oceanscan-MST. This dataset was acquired with a Light Autonomous Underwater Vehicle by Oceanscan-MST, within the scope of Challenge Camp 1 of the H2020 REMARO project.

More information about OceanScan-MST can be found at this link.

Cam0 — GoPro Hero 10

Camera parameters:

Resolution: 1520×2704

fx = 1612.36

fy = 1622.56

cx = 1365.43

cy = 741.27

k1,k2, p1, p2 = [−0.247, 0.0869, −0.006, 0.001]

Side-scan Sonars

Each sonar image was created after 20 “ping” (after every 20 new lines) which corresponds to approx. ~1 image / second.

Regarding the object detection annotations, we provide both COCO and YOLO formats for each annotation. A single COCO annotation file is provided per each chunk and per each frequency (low frequency vs. high frequency), whereas the YOLO annotations are provided for each SSS image file.

Metadata about the side-scan sonar images contained in this dataset:

Images for object detection

Low Frequency (LF):

5000

LF image size: 2500 × 500

High Frequency (HF):

5030

HF Image size 5000 × 500

Total number of images: 10030

Annotations

Low Frequency:

3163

High Frequency:

3172

Total number of annotations: 6335

The global market size of Paint Biocides is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Paint Biocides Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Paint Biocides industry. The key insights of the report:
1.The report provides key statistics on the market status of the Paint Biocides manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Paint Biocides industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Paint Biocides Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Paint Biocides as well as some small players.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share

For product type segment, this report listed main product type of Paint Biocides market
* Product Type I
* Product Type II
* Product Type III

For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Application I
* Application II
* Application III

For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

The oil painting primer market is a pivotal segment within the art supplies industry, catering to artists, hobbyists, and professionals alike. This essential medium serves as a preparatory layer that enhances the adhesion of oil paints to a variety of surfaces, ensuring that the final artwork is both durable and vib