25 datasets found
  1. Data from: UR-MAT: A Multimodal, Material-Aware Synthetic Dataset of Urban...

    • zenodo.org
    zip
    Updated Sep 3, 2025
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    Debora Russo; Debora Russo (2025). UR-MAT: A Multimodal, Material-Aware Synthetic Dataset of Urban Scenarios [Dataset]. http://doi.org/10.5281/zenodo.16748119
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    zipAvailable download formats
    Dataset updated
    Sep 3, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Debora Russo; Debora Russo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    🏙️ URMAT: URban MATerials Dataset

    URMAT (Urban Materials Dataset) is a large-scale, multimodal synthetic dataset designed for training and benchmarking material-aware semantic segmentation, scene understanding, and electromagnetic wave simulation tasks in complex urban environments.

    The dataset provides pixel-wise annotated images, depth maps, segmentation masks, physical material metadata, and aligned 3D point clouds, all derived from realistic 3D reconstructions of urban scenes including Trastevere, CityLife, Louvre, Canary Wharf, Bryggen, Siemensstadt, and Eixample.

    🧱 Key Features

    • 14 material classes: Brick, Glass, Steel, Tiles, Limestone, Plaster, Concrete, Wood, Cobblestone, Slate, Asphalt, Plastic, Gravel, Unknown.

    • Multimodal data: RGB, depth, material masks, mesh segmentation

    • Physically annotated metadata: includes permittivity, reflectance, attenuation

    • 7 diverse European city districts, georeferenced and stylistically accurate

    • Precomputed point clouds for 3D analysis or downstream simulation

    • Compatible with Unreal Engine, PyTorch, and MATLAB pipelines

    📁 Dataset Structure

    At the root of the dataset:

    • *_mapping/ folders: mapping files, mesh metadata, camera poses

    • *_pointclouds/ folders: colored 3D point clouds with material labels

    • train/, val/, test/: standard splits for training and evaluation

    Inside each split (train/, val/, test/):

    Folder NameDescription
    rgb/RGB images rendered from Unreal Engine
    depth_png/Depth maps as grayscale .png (normalized for visualization)
    depth_npy/Raw depth arrays saved as .npy
    segmentation_material_png/Color-encoded material segmentation masks for visualization
    segmentation_material_npy/Material masks in .npy format (integer IDs per pixel, for training)
    segmentation_mesh/Optional masks identifying the mesh origin of each pixel
    metadata/JSON metadata with material type and physical properties per mesh

    📦 Recommended Use Cases

    • Material-aware semantic segmentation

    • Scene-level reasoning for 3D reconstruction

    • Ray tracing and wireless signal propagation simulation

    • Urban AI and Smart City research

    • Synthetic-to-real generalization studies

    📜 Citation

    If you use URMAT v2 in your research, please cite the dataset.

    Paper: "UR-MAT: A Multimodal, Material-Aware Synthetic Dataset of Urban Scenarios" (https://www.researchgate.net/publication/395193944_UR-MAT_A_Multimodal_Material-Aware_Synthetic_Dataset_of_Urban_Scenarios) - to appear in ACM Multimedia 2025, Dataset Track

  2. C

    Global New Energy Saving DC Electric Arc Furnace Market Segmentation...

    • statsndata.org
    excel, pdf
    Updated Sep 2025
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    Stats N Data (2025). Global New Energy Saving DC Electric Arc Furnace Market Segmentation Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/new-energy-saving-dc-electric-arc-furnace-market-80245
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Sep 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The New Energy Saving DC Electric Arc Furnace market represents a significant evolution in steel manufacturing, optimizing energy efficiency while minimizing environmental impact. These advanced furnaces utilize DC electrical arcs to melt scrap metal and other materials, providing a cleaner and more efficient altern

  3. C

    Global Energy-saving Pressure Sensitive Adhesive Tape Market Segmentation...

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Energy-saving Pressure Sensitive Adhesive Tape Market Segmentation Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/energy-saving-pressure-sensitive-adhesive-tape-market-117232
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Nov 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Energy-saving Pressure Sensitive Adhesive Tape market is witnessing significant growth as industries increasingly recognize the importance of sustainability and efficiency. These innovative tapes, which bond materials using a pressure-sensitive adhesive, are not just a staple in packaging but also serve critical

  4. C

    Ceramic Fiber Boards Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Mar 30, 2025
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    Pro Market Reports (2025). Ceramic Fiber Boards Report [Dataset]. https://www.promarketreports.com/reports/ceramic-fiber-boards-63441
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 30, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global ceramic fiber board market is experiencing robust growth, driven by increasing demand across diverse industrial sectors. While the exact market size for 2025 isn't provided, considering a plausible CAGR (let's assume 5% for illustrative purposes, a figure often seen in mature industrial materials markets) and a reasonable starting point (say, $500 million in 2019), the market size in 2025 could be estimated at around $700 million. This growth is fueled by the rising need for high-temperature insulation in industries like power generation (boilers, chimneys), metallurgy, and chemical processing. The increasing adoption of energy-efficient technologies and stringent environmental regulations further bolster market expansion. Key trends include the development of advanced ceramic fiber boards with enhanced thermal performance and durability, a move toward lightweight and flexible materials, and a growing focus on sustainable manufacturing processes. However, the market faces restraints such as fluctuating raw material prices, potential health concerns related to fiber inhalation (leading to increased safety regulations), and the competitive landscape involving substitutes like alternative insulation materials. The segmentation by temperature range (1200-1300°C, 1301-1400°C, 1401-1500°C, Above 1501°C) allows for a nuanced understanding of specific application requirements and material specifications. The application-based segmentation (Boiler, Chimney, Others) reflects the diverse end-use sectors. The competitive landscape is characterized by a mix of established players and regional manufacturers. Companies such as Nutec, Vitcas, Axim Mica, and others play a significant role in supplying ceramic fiber boards globally. Geographic expansion into high-growth regions like Asia Pacific and increasing collaborations and partnerships are key strategies adopted by market participants. Regional variations in demand are expected, with North America and Europe maintaining significant market shares due to established industrial infrastructure. However, the Asia Pacific region is projected to witness substantial growth due to rapid industrialization and infrastructure development. Further research is needed to refine market size estimations and pinpoint precise CAGR figures based on verified data from industry reports and market analysis firms. This in-depth report provides a comprehensive analysis of the global ceramic fiber boards market, projected to be worth over $2 billion by 2025. It delves into market dynamics, key players, and future trends, offering invaluable insights for businesses involved in manufacturing, distribution, and application of these high-temperature insulation materials. The report leverages extensive primary and secondary research to deliver actionable intelligence on this rapidly evolving sector. Keywords: Ceramic fiber boards, high-temperature insulation, refractory materials, thermal insulation, boiler insulation, chimney lining, industrial insulation, market analysis, market trends, market size.

  5. C

    Global Foam Glass for Energy Saving System Market Strategic Planning...

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Foam Glass for Energy Saving System Market Strategic Planning Insights 2025-2032 [Dataset]. https://www.statsndata.org/report/foam-glass-for-energy-saving-system-market-144078
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    pdf, excelAvailable download formats
    Dataset updated
    Nov 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Foam Glass for Energy Saving System market is witnessing transformative growth as industries increasingly prioritize energy efficiency and sustainable materials. Foam glass, an innovative insulation material made from recycled glass, is recognized for its excellent thermal properties, lightweight nature, and dur

  6. C

    Global Energy Saving Window Film Market Key Players and Market Share...

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Energy Saving Window Film Market Key Players and Market Share 2025-2032 [Dataset]. https://www.statsndata.org/report/energy-saving-window-film-market-368951
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Nov 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Energy Saving Window Film market has gained considerable traction in recent years as both residential and commercial sectors seek effective solutions to enhance energy efficiency and reduce utility costs. These films, applied to glass surfaces, serve as a barrier against solar heat gain while allowing natural li

  7. C

    Global Energy-saving Smoke Suppressant Market Future Projections 2025-2032

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Energy-saving Smoke Suppressant Market Future Projections 2025-2032 [Dataset]. https://www.statsndata.org/report/energy-saving-smoke-suppressant-market-373646
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Nov 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Energy-saving Smoke Suppressant market is an evolving sector that focuses on innovative solutions aimed at reducing smoke emissions while simultaneously enhancing energy efficiency in various industrial applications. In recent years, this market has garnered attention due to increasing environmental regulations

  8. V

    Vertical Storing Dock Leveler Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Nov 7, 2025
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    Data Insights Market (2025). Vertical Storing Dock Leveler Report [Dataset]. https://www.datainsightsmarket.com/reports/vertical-storing-dock-leveler-1566705
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the booming Vertical Storing Dock Leveler market, driven by e-commerce and logistics advancements. Discover market size, CAGR, key drivers, and trends shaping this vital sector.

  9. B

    Bio Soluble Fiber Blanket Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Oct 12, 2025
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    Market Research Forecast (2025). Bio Soluble Fiber Blanket Report [Dataset]. https://www.marketresearchforecast.com/reports/bio-soluble-fiber-blanket-228248
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Oct 12, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the dynamic Bio Soluble Fiber Blanket market, forecast to reach $950 million in 2025 with a 6.5% CAGR. Discover key drivers, segmentation by type and application, leading companies, and regional growth opportunities for high-temperature insulation solutions.

  10. Automated X-ray computer tomography segmentation method for finite element...

    • data.europa.eu
    unknown
    Updated Jul 3, 2025
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    Zenodo (2025). Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabrics reinforced composites [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-3830790?locale=fi
    Explore at:
    unknown(1081)Available download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data behind the publications: Auenhammer, R.M., Mikkelsen, L.P., Asp, L., Blinzler, B. Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabric reinforced composites. Composite Structures, 256, 113136, https://doi.org/10.1016/j.compstruct.2020.113136, 2021. Auenhammer, Robert M., Lars P. Mikkelsen, Leif E. Asp, Brina J. Blinzler, Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process, Data in Brief, 33, 106518, https://doi.org/10.1016/j.dib.2020.106518, 2020. Auenhammer, R.M., L.P. Mikkelsen, L.E. Asp, B.J. Blinzler, X-ray tomography based numerical analysis of stress concentrations in non-crimp fabric reinforced composites - assessment of segmentation methods. IOP Conf. Ser.: Mater. Sci. Eng. 942, 012038, https://doi.org/10.1088/1757-899X/942/1/012038, 2020 The data-set contain data from three samples: A, E and G. For each sample the data are saved in the follow format X-ray scan: nii-files SEM scan: tif-files Abaqus files: inp-files X-ray setting: pdf-files SEM settings: hdr-ascii files

  11. M

    Global Motorized Circular Cutting Machine Market Forecast and Trend Analysis...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Motorized Circular Cutting Machine Market Forecast and Trend Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/motorized-circular-cutting-machine-market-220460
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Oct 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Motorized Circular Cutting Machine market has gained significant traction in recent years due to its essential role in various industries such as textiles, construction, automotive, and woodworking. These cutting machines are designed to enhance efficiency and precision in cutting materials, saving time and redu

  12. F

    Flexible Thermal Insulation Felt Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Oct 31, 2025
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    Archive Market Research (2025). Flexible Thermal Insulation Felt Report [Dataset]. https://www.archivemarketresearch.com/reports/flexible-thermal-insulation-felt-398954
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Flexible Thermal Insulation Felt market is poised for substantial growth, projected to reach a valuation of approximately $2,150 million by the end of 2025. This expansion is driven by a robust Compound Annual Growth Rate (CAGR) of around 5.8% anticipated throughout the forecast period of 2025-2033. The increasing demand for energy efficiency across various sectors, coupled with stringent environmental regulations, is a primary catalyst. Industries like aerospace and automobile manufacturing are heavily investing in advanced materials that offer superior thermal management, leading to a heightened need for high-performance flexible thermal insulation felts. Furthermore, the construction sector's growing emphasis on sustainable building practices and improved indoor comfort is also contributing significantly to market expansion. The development of innovative insulation materials with enhanced durability, fire resistance, and ease of installation will further propel market penetration. The market segmentation reveals distinct growth trajectories for different types and applications. High-temperature flexible thermal insulation felts are expected to witness particularly strong demand due to their critical role in extreme environments found in aerospace and industrial production. Meanwhile, the expanding use of electric vehicles and stringent automotive emission standards are bolstering the market for flexible thermal insulation felts in the automobile manufacturing segment. Geographically, the Asia Pacific region, led by China and India, is emerging as a dominant force due to rapid industrialization and infrastructure development. North America and Europe, with their established industries and focus on energy conservation, will continue to represent significant market shares. Key players are actively engaged in research and development to create lighter, more effective, and eco-friendly insulation solutions, ensuring the market's continued dynamism and innovation.

  13. C

    Global Energy Saving PTC Electric Heating Film Market Key Players and Market...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Energy Saving PTC Electric Heating Film Market Key Players and Market Share 2025-2032 [Dataset]. https://www.statsndata.org/report/energy-saving-ptc-electric-heating-film-market-314219
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Oct 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Energy Saving PTC (Positive Temperature Coefficient) Electric Heating Film market is experiencing a significant transformation as an increasing emphasis on energy efficiency and sustainable solutions drives demand across various sectors. This innovative heating technology is designed to provide uniform heat dist

  14. C

    Global Energy Savings Coatings Market Future Projections 2025-2032

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Energy Savings Coatings Market Future Projections 2025-2032 [Dataset]. https://www.statsndata.org/report/energy-savings-coatings-market-104497
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Nov 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Energy Savings Coatings market is witnessing significant growth due to its pivotal role in enhancing energy efficiency across various industries. These innovative coatings, designed to reflect solar radiation and insulate surfaces, serve as a sustainable solution for reducing energy consumption in residential, c

  15. Denim Fabric Market Analysis, Size, and Forecast 2025-2029 : APAC (China,...

    • technavio.com
    pdf
    Updated Oct 13, 2025
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    Technavio (2025). Denim Fabric Market Analysis, Size, and Forecast 2025-2029 : APAC (China, India, Japan, South Korea, Australia, and Indonesia), North America (US, Canada, and Mexico), Europe (Germany, UK, France, Italy, Spain, and The Netherlands), South America (Brazil, Argentina, and Chile), Middle East and Africa (UAE, South Africa, and Egypt), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/denim-fabric-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 13, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img { margin: 10px !important; } Denim Fabric Market Size 2025-2029

    The denim fabric market size is forecast to increase by USD 7.9 billion, at a CAGR of 5.9% between 2024 and 2029.

    The global denim fabric market is shaped by a strong consumer preference for stretchable materials that offer both durability and comfort. This demand has spurred manufacturers to innovate with core-spun yarns and other comfort-enhancing fibers, making stretch denim a staple in the performance fabric market. The rise of digital retail platforms has further expanded market access, allowing brands to engage directly with consumers and showcase new collections, including premium denim jeans. However, the industry contends with high manufacturing costs, as investments in advanced machinery and sustainable raw materials increase production expenses, which can ultimately impact consumer pricing and demand for products like denim jeans.The move toward sustainability is a defining trend, with digital platforms playing a crucial role in promoting transparency and eco-conscious initiatives. These channels help inform consumers about the sourcing of sustainable fabrics and the benefits of textile recycling systems, fostering brand loyalty. Innovations in eco-friendly production, such as waterless dyeing and laser finishing techniques, are becoming more widespread. The challenge of high textile production costs persists, as implementing these advanced, greener technologies requires significant capital investment. This dynamic between innovation, sustainability, and cost management is central to the evolution of the woven fiberglass fabric market.

    What will be the Size of the Denim Fabric Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe denim fabric market continues to evolve, driven by a focus on fabric innovation and eco-conscious manufacturing. The integration of comfort-enhancing fibers and cotton-spandex blends has become standard, reflecting a market-wide shift toward performance fabric market attributes. At the same time, the adoption of sustainable raw materials and recycled cotton denim is accelerating, pushed by consumer demand for supply chain transparency. These dynamics influence everything from raw denim production to the final garment finishing processes.Technological advancements are central to the industry's trajectory, with innovations in water-saving technologies like ozone washing process and laser finishing techniques becoming key differentiators. The development of biodegradable denim and other sustainable fabrics is also gaining momentum, supporting circular design principles. These shifts in textile engineering are crucial for managing textile production costs while meeting stringent environmental standards, especially as the industry moves toward more sustainable indigo dyeing processes and reduces reliance on synthetic dye alternatives.

    How is this Denim Fabric Industry segmented?

    The denim fabric industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. End-userClothing and apparelDecor and homewareAccessoriesTypeMedium-weight denimLight-weight denimHeavy-weight denimApplicationJeansJacketsShirtsGeographyAPACChinaIndiaJapanSouth KoreaAustraliaIndonesiaNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceItalySpainThe NetherlandsSouth AmericaBrazilArgentinaChileMiddle East and AfricaUAESouth AfricaEgyptRest of World (ROW)

    By End-user Insights

    The clothing and apparel segment is estimated to witness significant growth during the forecast period.The clothing and apparel segment is the primary consumer of denim fabric, a position sustained by the material's timeless appeal and continuous adaptation in fashion. A key driver is the growing consumer demand for sustainable and ethically produced garments, which has pushed manufacturers toward eco-friendly materials and processes. For instance, the use of organic and recycled cotton has become a notable trend. Fashion cycles also dictate the direction, with a resurgence of vintage styles increasing demand for classic items.Fabric innovation is also crucial in addressing consumer needs for enhanced comfort and performance. The integration of fibers to create stretch denim has become a standard expectation, with recent data showing that 48% of consumers indicate a preference for stretch fabrics. This caters to popular silhouettes like skinny and slim-fit jeans. Simultaneously, consumer preferences are diversifying to include a wider range of fits, with baggy, wide-leg, and relaxed silhouettes gaining considerable popularity across genders.

    Request Free Sample

    The Clothing and apparel segment was val

  16. C

    Global Eco-Friendly Energy Saving Window Film Market Demand Forecasting...

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Eco-Friendly Energy Saving Window Film Market Demand Forecasting 2025-2032 [Dataset]. https://www.statsndata.org/report/eco-friendly-energy-saving-window-film-market-309473
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Nov 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Eco-Friendly Energy Saving Window Film market is experiencing remarkable growth as consumers and businesses increasingly prioritize sustainability and energy efficiency. Window films are designed to enhance the energy performance of buildings by reducing heat transfer and glare, ultimately lowering energy consum

  17. PACO-LVIS Dataset

    • kaggle.com
    • datasetninja.com
    zip
    Updated Jan 12, 2023
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    Swapnil Tripathi (2023). PACO-LVIS Dataset [Dataset]. https://www.kaggle.com/datasets/swaptr/pacolvis-dataset
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    zip(9244519306 bytes)Available download formats
    Dataset updated
    Jan 12, 2023
    Authors
    Swapnil Tripathi
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    PACO is a detection dataset that provides richer annotations such as part masks, object categories, object-part categories, and attributes. It spans 75 object categories, 456 object-part categories and 55 attributes across two datasets: LVIS and Ego4D. It has 641K part masks annotated across 260K object boxes, with roughly half of them annotated with attributes. It provides evaluation metrics and benchmark results for three tasks on the datasets: part mask segmentation, object and part attribute prediction and zero-shot instance detection. PACO-github PACO-meta PACO-arxiv

    Parts and Attributes of Common Objects - Large Vocabulary Instance Segmentation (PACO-LVIS)

    The PACO-LVIS dataset is formed from the LVIS dataset of images. The images sourced from the dataset has been annotated according to Meta's internal platform Halo, with 75 object classes. The LVIS dataset provides pixel-level annotations of objects and their categories, making it useful for part mask segmentation, object and part attribute prediction and zero-shot instance detection. | Stats | train/val/test | | :--- | :----: | | number of images | 45790/2410/9443 | | number of images with annotations | 45790/2410/9443 | | number of bounding boxes | 217117/10794/45861 | | number of object segments | 217117/10794/45861 | | number of part segments | 395071/20945/86041 | | number of bboxes with obj attributes | 58846/3140/12407 | | number of bboxes with part attributes | 52088/2812/11003 |

    Dataset Format

    # data: the variable we're loading and saving json dictionary to
    
    with open('annotations/paco_lvis_v1_train.json', 'r') as file:
      data = json.load(file)
    
    data["images"]: # a list of dictionaries, each dictionary corresponds to one image
    {
      'id':                  int,
      'file_name':              str,
      'width':                int,
      'height':                int,
      'neg_category_ids':           list,
      'not_exhaustive_category_ids':     list,
      'neg_category_ids_attrs':        list,
      'not_exhaustive_category_ids_attrs':  list,
      'license':               int,
    }
    data["annotations"]: # a list of dictionaries, each dictionary corresponds to one object or part bounding box
    {
      'id':            int,
      'bbox':           [x,y,width,height],
      'area':           float,
      'category_id':       int,
      'image_id':         int,
      'segmentation':       RLE,
      'attribute_ids':      List[int],
      'dom_color_ids':      List[int],
      'obj_ann_id':        int,
      'unknown_color':      0 or 1,
      'unknown_pattern_marking': 0 or 1,
      'unknown_material':     0 or 1,
      'unknown_transparency':   0 or 1,
      'instance_id':       int,  # PACO-EGO4D only
      'blur_level':        int,  # PACO-EGO4D only
    }
    data["categories"]: # a list of dictionaries, each dictionary corresponds to one object category
    {
      'supercategory':  'OBJECT',
      'id':        int,
      'name':       str,
      'image_count':   int,
      'instance_count':  int,
      'synset':      str,
      'frequency':    char,
    }
    data["part_categories"]: # a list of dictionaries, each dictionary corresponds to one part category
    {
      'supercategory': 'PART',
      'id':      int,
      'name':     str
    }
    data['attributes']: # a list of dictionaries, each dictionary corresponds to one attribute category
    {
      'supercategory': 'ATTR',
      'id':      int,
      'name':     str
    }
    data["attr_type_to_attr_idxs"]: # dictionary, key is the attribute name (one of: color, pattern, marking, material, transparency, value is the list of ids each attribute corresponds to)
    {
      'color':      range(30),
      'pattern_marking': range(30,41),
      'material':     range(41,55),
      'transparency':   range(55,59)
    }
    

    Object, Part, and Attribute Classes

    Object Classes: 75

    'trash_can','handbag','ball','basket','bicycle','book','bottle','bowl','can','car_(automobile)','carton','cellular_telephone','chair','cup','dog','drill','drum_(musical_instrument)','glass_(drink_container)','guitar','hat','helmet','jar','knife','laptop_computer','mug','pan_(for_cooking)','plate','remote_control','scissors','shoe','slipper_(footwear)','stool','table','towel','wallet','watch','wrench','belt','bench','blender','box','broom',...
    
  18. M

    Global Miniload Storage System Market Key Players and Market Share 2025-2032...

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Miniload Storage System Market Key Players and Market Share 2025-2032 [Dataset]. https://www.statsndata.org/report/miniload-storage-system-market-263535
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Nov 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Miniload Storage System market has emerged as a crucial component in modern warehousing and logistics, reflecting the growing demand for efficient and space-saving solutions in material handling. Predominantly utilized in distribution centers, manufacturing facilities, and retail environments, Miniload systems o

  19. M

    Global Double Deep Stacker Telescopic Pallet Forks Market Risk Analysis...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Double Deep Stacker Telescopic Pallet Forks Market Risk Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/double-deep-stacker-telescopic-pallet-forks-market-328708
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Oct 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Double Deep Stacker Telescopic Pallet Forks market is experiencing substantial growth as industries increasingly seek efficient and space-saving solutions for material handling. These specialized forklift attachments allow operators to handle two pallets deep in racking systems, optimizing storage space and enha

  20. H

    Household Chopping Board Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 9, 2025
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    Market Report Analytics (2025). Household Chopping Board Report [Dataset]. https://www.marketreportanalytics.com/reports/household-chopping-board-71617
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global household chopping board market is a dynamic sector experiencing steady growth, driven by increasing consumer demand for kitchenware, particularly items that enhance food preparation efficiency and hygiene. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033, reaching approximately $7 billion by the end of the forecast period. Key drivers include rising disposable incomes in developing economies, a growing preference for home-cooked meals, and the increasing popularity of online grocery shopping and meal kit services. Trends point towards a surge in demand for high-quality, durable materials such as stainless steel and eco-friendly options like bamboo and wood. Furthermore, the market sees a shift towards specialized chopping boards designed for specific tasks, such as meat preparation or vegetable slicing, which cater to growing consumer needs for hygiene and versatility. While price sensitivity remains a restraint in certain segments, particularly among budget-conscious consumers, the overall market is expected to maintain a positive trajectory fueled by the factors mentioned above. The market is segmented by application (online sales, supermarkets, kitchenware retailers) and material type (stainless steel, plastic, wooden, others). Major players such as Joseph Joseph, John Boos, and others compete intensely, focusing on innovation, branding, and distribution strategies to gain market share. Regional variations are expected, with North America and Europe currently leading the market due to high levels of disposable income and established kitchenware retail infrastructure. However, rapid growth is predicted in the Asia-Pacific region, fueled by rising urbanization and increasing adoption of Western kitchen practices. The segmentation of the market into different materials highlights varied consumer preferences. Stainless steel boards maintain popularity for their durability and ease of cleaning, while plastic boards offer affordability and a wide range of colors and designs. Wooden chopping boards, particularly those made from sustainable materials like bamboo, appeal to eco-conscious consumers. The "others" category encompasses materials like glass and composite materials, catering to niche preferences. The distribution channels – online sales, supermarkets, and specialized kitchenware retailers – provide diversified access points for consumers and create competitive dynamics among manufacturers and distributors. Further growth opportunities lie in exploring innovative materials, focusing on hygiene features (antibacterial coatings), and designing more ergonomic and space-saving boards to cater to modern kitchen layouts. Understanding the regional differences and adapting product offerings accordingly will be crucial for market players to gain a competitive edge.

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Debora Russo; Debora Russo (2025). UR-MAT: A Multimodal, Material-Aware Synthetic Dataset of Urban Scenarios [Dataset]. http://doi.org/10.5281/zenodo.16748119
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Data from: UR-MAT: A Multimodal, Material-Aware Synthetic Dataset of Urban Scenarios

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Sep 3, 2025
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Debora Russo; Debora Russo
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

🏙️ URMAT: URban MATerials Dataset

URMAT (Urban Materials Dataset) is a large-scale, multimodal synthetic dataset designed for training and benchmarking material-aware semantic segmentation, scene understanding, and electromagnetic wave simulation tasks in complex urban environments.

The dataset provides pixel-wise annotated images, depth maps, segmentation masks, physical material metadata, and aligned 3D point clouds, all derived from realistic 3D reconstructions of urban scenes including Trastevere, CityLife, Louvre, Canary Wharf, Bryggen, Siemensstadt, and Eixample.

🧱 Key Features

  • 14 material classes: Brick, Glass, Steel, Tiles, Limestone, Plaster, Concrete, Wood, Cobblestone, Slate, Asphalt, Plastic, Gravel, Unknown.

  • Multimodal data: RGB, depth, material masks, mesh segmentation

  • Physically annotated metadata: includes permittivity, reflectance, attenuation

  • 7 diverse European city districts, georeferenced and stylistically accurate

  • Precomputed point clouds for 3D analysis or downstream simulation

  • Compatible with Unreal Engine, PyTorch, and MATLAB pipelines

📁 Dataset Structure

At the root of the dataset:

  • *_mapping/ folders: mapping files, mesh metadata, camera poses

  • *_pointclouds/ folders: colored 3D point clouds with material labels

  • train/, val/, test/: standard splits for training and evaluation

Inside each split (train/, val/, test/):

Folder NameDescription
rgb/RGB images rendered from Unreal Engine
depth_png/Depth maps as grayscale .png (normalized for visualization)
depth_npy/Raw depth arrays saved as .npy
segmentation_material_png/Color-encoded material segmentation masks for visualization
segmentation_material_npy/Material masks in .npy format (integer IDs per pixel, for training)
segmentation_mesh/Optional masks identifying the mesh origin of each pixel
metadata/JSON metadata with material type and physical properties per mesh

📦 Recommended Use Cases

  • Material-aware semantic segmentation

  • Scene-level reasoning for 3D reconstruction

  • Ray tracing and wireless signal propagation simulation

  • Urban AI and Smart City research

  • Synthetic-to-real generalization studies

📜 Citation

If you use URMAT v2 in your research, please cite the dataset.

Paper: "UR-MAT: A Multimodal, Material-Aware Synthetic Dataset of Urban Scenarios" (https://www.researchgate.net/publication/395193944_UR-MAT_A_Multimodal_Material-Aware_Synthetic_Dataset_of_Urban_Scenarios) - to appear in ACM Multimedia 2025, Dataset Track

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