4 datasets found
  1. OpenAI CLIP

    • kaggle.com
    Updated Mar 10, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bruno G. do Amaral (2021). OpenAI CLIP [Dataset]. https://www.kaggle.com/bguberfain/openai-clip/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 10, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bruno G. do Amaral
    Description

    Dataset

    This dataset was created by Bruno G. do Amaral

    Contents

  2. G

    G-Clips Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). G-Clips Report [Dataset]. https://www.datainsightsmarket.com/reports/g-clips-75103
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 21, 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

    The global G-Clip market, encompassing applications across diverse industries like woodworking and manufacturing, is experiencing robust growth. While precise market sizing data is unavailable, considering the widespread use of G-clips in securing various materials and components, a reasonable estimation of the 2025 market size would be in the range of $500 million to $700 million USD. This estimate is derived by considering the market presence of the listed companies, their potential production capacities, and the general market activity for similar fastening solutions. The market is segmented by material type, primarily stainless steel and carbon steel, with stainless steel commanding a larger share due to its superior corrosion resistance and longevity, particularly in outdoor or demanding industrial applications. The woodworking industry accounts for a significant portion of demand, given its use in furniture manufacturing and construction, closely followed by the manufacturing sector where G-clips are essential in assembling and securing various parts and components within various machinery. Growth drivers include increasing industrial automation, expanding construction activities globally, and a preference for durable and reliable fastening solutions. However, price fluctuations in raw materials and the potential emergence of alternative fastening technologies pose challenges to market expansion. The forecast period (2025-2033) anticipates consistent growth, driven by ongoing infrastructure development and increased manufacturing output in key regions like Asia-Pacific and North America, though at a moderated pace compared to prior periods due to economic factors. Companies like P&R Metals, Brown-Campbell, and others are key players, competing based on pricing, product quality, and customization options. The market's regional distribution is expected to follow established patterns. North America and Europe currently hold substantial market shares, reflecting their developed industrial sectors. However, rapid industrialization in Asia-Pacific, particularly in China and India, promises significant growth opportunities in the coming years. The market is expected to experience a Compound Annual Growth Rate (CAGR) reflecting moderate, steady expansion—a conservative estimate could range from 4% to 6% through the forecast period. This growth will be supported by increased demand across various sectors and sustained investment in infrastructure projects across different global economies. Further segmentation analysis could reveal niche applications and opportunities within specific industry verticals, providing companies with actionable insights into strategic market penetration.

  3. CLIP-VIT-SMALL-G-14-LAION2B-S34B-B88K

    • kaggle.com
    Updated Apr 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    York G (2023). CLIP-VIT-SMALL-G-14-LAION2B-S34B-B88K [Dataset]. https://www.kaggle.com/datasets/yue300c/clip-vit-small-g-14-laion2b-s34b-b88k
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 16, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    York G
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by York G

    Released under CC0: Public Domain

    Contents

  4. clip-vit-g-embedding-sgd-epoch0-batch5000

    • kaggle.com
    Updated Apr 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    qiexi fan (2023). clip-vit-g-embedding-sgd-epoch0-batch5000 [Dataset]. https://www.kaggle.com/datasets/qiexifan/clip-vit-g-embedding-sgd-epoch0-batch5000/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 30, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    qiexi fan
    Description

    Dataset

    This dataset was created by qiexi fan

    Contents

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Bruno G. do Amaral (2021). OpenAI CLIP [Dataset]. https://www.kaggle.com/bguberfain/openai-clip/code
Organization logo

OpenAI CLIP

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 10, 2021
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Bruno G. do Amaral
Description

Dataset

This dataset was created by Bruno G. do Amaral

Contents

Search
Clear search
Close search
Google apps
Main menu