10 datasets found
  1. panda challenge mask jpeg

    • kaggle.com
    Updated Apr 26, 2020
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    Charlie Craine (2020). panda challenge mask jpeg [Dataset]. https://www.kaggle.com/datasets/crained/panda-challenge-mask-jpeg
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 26, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Charlie Craine
    Description

    Dataset

    This dataset was created by Charlie Craine

    Contents

  2. P

    SegPANDA200 Dataset

    • paperswithcode.com
    Updated Jun 13, 2023
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    Masataka Kawai; Noriaki Ota; Shinsuke Yamaoka (2023). SegPANDA200 Dataset [Dataset]. https://paperswithcode.com/dataset/segpanda200
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    Dataset updated
    Jun 13, 2023
    Authors
    Masataka Kawai; Noriaki Ota; Shinsuke Yamaoka
    Description

    SegPANDA200 is a public pathological H&E image dataset from segmentation task on PANDA challenge in 200 microns by 512px made in the same manner from PANDA challenge dataset .

  3. Panda Code 2

    • kaggle.com
    zip
    Updated Jul 25, 2020
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    Jay (2020). Panda Code 2 [Dataset]. https://www.kaggle.com/jakobw/panda-code-2
    Explore at:
    zip(5641817960 bytes)Available download formats
    Dataset updated
    Jul 25, 2020
    Authors
    Jay
    Description

    Dataset

    This dataset was created by Jay

    Released under Data files © Original Authors

    Contents

  4. PANDA fanconic model weights

    • kaggle.com
    Updated Jul 22, 2020
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    Claudio Fanconi (2020). PANDA fanconic model weights [Dataset]. https://www.kaggle.com/fanconic/panda-tiles-20x112x112/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 22, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Claudio Fanconi
    License

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

    Description

    Context

    16x112x112 tiles of images in PNG format from the PANDA prostate detection challenge.

    Content

    The dataset contains 16 tiles of size 112x112 for every image of the original competition dataset. The 20 images are the ones containing the most significant pixel information,

    Acknowledgements

    The data in this dataset was created with the following kernel: https://www.kaggle.com/fanconic/panda-20x112x112-tiles-for-efficientnetb0

    Many thanks to @lafoss for the original kernel: https://www.kaggle.com/iafoss/panda-16x128x128-tiles You da real MVP!

  5. P

    Panda Polarization Maintaining Fiber Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 1, 2025
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    Data Insights Market (2025). Panda Polarization Maintaining Fiber Report [Dataset]. https://www.datainsightsmarket.com/reports/panda-polarization-maintaining-fiber-901225
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Jul 1, 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 Panda Polarization Maintaining Fiber (PMF) market, valued at $256 million in 2025, is projected to experience robust growth, driven by the expanding demand for high-bandwidth communication networks and advanced sensing applications. The Compound Annual Growth Rate (CAGR) of 11.2% from 2025 to 2033 signifies a significant market expansion, reaching an estimated value exceeding $700 million by 2033. This growth is fueled by the increasing adoption of PMF in fiber optic communication systems requiring high polarization stability, such as coherent optical communication and high-speed data transmission. Furthermore, the rising utilization of PMF in various sensing applications, including strain sensing, temperature sensing, and current sensing, contributes significantly to market expansion. Key players like Corning, Fujikura, and YOFC are leading the market, continually innovating and investing in advanced PMF technologies to cater to the evolving needs of diverse industries. Despite the positive growth trajectory, challenges such as the high initial cost of installation and potential signal degradation due to environmental factors pose some restraints. However, ongoing technological advancements focused on improving manufacturing efficiency and enhancing the fiber's resilience are mitigating these challenges. The market segmentation, while not explicitly provided, is likely to be categorized by fiber type (e.g., single-mode, multi-mode), application (telecommunications, sensing), and region. The competitive landscape is intense, with numerous established and emerging players vying for market share through continuous product development and strategic partnerships. The forecast period of 2025-2033 presents substantial opportunities for industry participants who effectively address the market's evolving demands.

  6. fastai2

    • kaggle.com
    Updated Mar 4, 2021
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    rmicrobe (2021). fastai2 [Dataset]. https://www.kaggle.com/rmicrobe/fastai2/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 4, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    rmicrobe
    Description

    These are the files I used to load fast.ai without internet for the PANDAS challenge. Please check the fast.ai website for the most up-to-date version of fast.ai.

    References

    The files were downloaded from the respective websites. fastai2-0.0.17-py3-none-any.whl - pypi.org/project/fastai2/#history fastcore-0.1.18-py3-none-any.whl - pypi.org/project/fastcore/#history fastprogress-0.2.3-py3-none-any.whl - pypi.org/project/fastprogress/#history

    Check the respective website for the copyright.

  7. I

    Global Panda PM Fiber Market Overview and Outlook 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Panda PM Fiber Market Overview and Outlook 2025-2032 [Dataset]. https://www.statsndata.org/report/panda-pm-fiber-market-42839
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jun 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 Panda PM Fiber market is an emerging segment within the broader textiles and fiber industry, renowned for its sustainable attributes and versatility. As a high-performance fiber, Panda PM Fiber is primarily used in various applications, ranging from apparel and fashion to home textiles and industrial products. I

  8. h

    text2pandas

    • huggingface.co
    Updated Sep 25, 2024
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    Zeyad Usf (2024). text2pandas [Dataset]. https://huggingface.co/datasets/zeyadusf/text2pandas
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 25, 2024
    Authors
    Zeyad Usf
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    About Data

    I found two datasets about converting text with context to pandas code on Hugging Face, but the challenge is in the context. The context in both datasets is different which reduces the results of the model. First let's mention the data I found and then show examples, solution and some other problems. Rahima411/text-to-pandas : The data is divided into Train with 57.5k and Test with 19.2k.

    The data has two columns as you can see in the example:… See the full description on the dataset page: https://huggingface.co/datasets/zeyadusf/text2pandas.

  9. Global Panda Fiber Market Competitive Environment 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Panda Fiber Market Competitive Environment 2025-2032 [Dataset]. https://www.statsndata.org/report/panda-fiber-market-2591
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jun 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 Panda Fiber market is an emerging sector defined by its sustainable and eco-friendly approach to textile production, driven by increasing consumer demand for biodegradable and non-toxic materials. Derived from the bamboo plant, Panda Fiber is celebrated for its softness, breathability, and natural antibacterial

  10. I

    Global Panda Polarization Maintaining Fibers Market Overview and Outlook...

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Panda Polarization Maintaining Fibers Market Overview and Outlook 2025-2032 [Dataset]. https://www.statsndata.org/report/panda-polarization-maintaining-fibers-market-76737
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Jun 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 Panda Polarization Maintaining Fibers market has emerged as a crucial segment within the optical fiber industry, characterized by its unique ability to preserve the polarization of light passing through it. This feature is integral to various applications, particularly in telecommunications, aerospace, and medic

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

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Charlie Craine (2020). panda challenge mask jpeg [Dataset]. https://www.kaggle.com/datasets/crained/panda-challenge-mask-jpeg
Organization logo

panda challenge mask jpeg

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 26, 2020
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Charlie Craine
Description

Dataset

This dataset was created by Charlie Craine

Contents

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