This dataset was created by Charlie Craine
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 .
This dataset was created by Jay
Released under Data files © Original Authors
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
16x112x112 tiles of images in PNG format from the PANDA prostate detection challenge.
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,
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!
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
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.
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.
https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
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
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
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
https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
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
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This dataset was created by Charlie Craine