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Apr 06, 2019 · Import dataset. In Kaggle, all data files are located inside the input folder which is one level up from where the notebook is located. The images are inside the cell_images folder. Thus, I set up the data directory as DATA_DIR to point to that location. To store the features, I used the variable dataset and for labels I used label. For this project, I set each image size to be 64x64.
Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass
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Screen by Author Kaggle Page. Vote: 8,129 (update: 2020/08/27). Dataset Description. In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared ...
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The dataset can also be downloaded from: Kaggle How to cite Horea Muresan, Mihai Oltean , Fruit recognition from images using deep learning , Acta Univ. Sapientiae, Informatica Vol. 10, Issue 1, pp. 26-42, 2018.
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Vw g42 sensor location The original dataset consisted of 162 whole mount slide images of Breast Cancer (BCa) specimens scanned at 40x. From that, 277,524 patches of size 50 x 50 were extracted (198,738 IDC negative and 78,786 IDC positive). , The dataset used here is Intel Image Classification from Kaggle. Intel Image classification dataset is already split into train, test, and Val, and we will only use the training dataset to learn how to load the dataset using different libraries. Electric field due to point charge derivation
  • A combination of a n=300k subset of the 512px SFW subset of Danbooru2017 and Nagadomi’s moeimouto face dataset are available as a Kaggle-hosted dataset: “Tagged Anime Illustrations” (36GB). Kaggle also hosts the metadata of Safebooru up to 2016-11-20: “Safebooru—Anime Image Metadata”. Model zoo. Currently available: taggers:

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    This is the first dataset I ever created , so please do share your reviews on it :):) Content. The dataset consists of two compressed zip files: (1) ab.zip : This contains 25 .npy files consisting of a and b dimensions of LAB color space images, of the MIRFLICKR25k randomly sized colored image dataset. The LAB color space generally takes up ... Nov 02, 2018 · Not bad for a model trained on very little dataset (4000 images). But in real world/production scenarios, our model is actually under-performing. Although we suggested tuning some hyperparameters — epochs, learning rates, input size, network depth, backpropagation algorithms e.t.c — to see if we could increase our accuracy. To find image classification datasets in Kaggle, let’s go to Kaggle and search using keyword image classification either under Datasets or Competitions. For example, we find the Shopee-IET Machine Learning Competition under the InClass tab in Competitions. We then navigate to Data to download the dataset using the Kaggle API. Please make sure ...

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  • Aug 15, 2018 · You can kind find image datasets, CSVs, financial time-series, movie reviews, etc. Additionally, all these datasets are totally free to download off of kaggle.com. 55,000 Song Lyrics — CSV This dataset is a matrix consisting of a quick description of each song and the entire song in text mining.

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    Aug 15, 2018 · You can kind find image datasets, CSVs, financial time-series, movie reviews, etc. Additionally, all these datasets are totally free to download off of kaggle.com. 55,000 Song Lyrics — CSV This dataset is a matrix consisting of a quick description of each song and the entire song in text mining. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. ... Datasets. Chest X-Ray Images ...

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  • May 22, 2019 · Plant Image Analysis: A collection of datasets spanning over 1 million images of plants. Can choose from 11 species of plants. Home Objects: A dataset that contains random objects from home, mostly from kitchen, bathroom and living room split into training and test datasets. CIFAR-10: A large image dataset of 60,000 32×32 colour images split ...

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    Apr 26, 2018 · The client often has no dataset of images to start off with. They can’t simply use an off-the-shelf solution or API, because the typical 1000 objects in the off-the-shelf convolutional networks are not as broad as one would hope, and also a classifier that differentiates between 2 classes can be a lot more powerful than one with 1000.

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  • Open Images Dataset V6 + Extensions. 15,851,536 boxes on 600 categories. 2,785,498 instance segmentations on 350 categories. 3,284,282 relationship annotations on ...

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    Oct 10, 2018 · Each class contain 500 training images and 100 test images. CALTECH datasets [Classification] CALTECH-101 –101 classes with 40–800 images per class with dimension 300×200 pixels that are ...

    How to draw a roof in archicadThe dataset used here is Intel Image Classification from Kaggle. Intel Image classification dataset is already split into train, test, and Val, and we will only use the training dataset to learn how to load the dataset using different libraries. Oct 02, 2020 · Kaggle Datasets Expert: Highest Rank 63 in the World based on Kaggle Rankings (over 13k data scientists) Kaggle Notebooks Kaggle is a platform for predictive modeling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. The dataset used here is Intel Image Classification from Kaggle. Intel Image classification dataset is already split into train, test, and Val, and we will only use the training dataset to learn how to load the dataset using different libraries.
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  • To find image classification datasets in Kaggle, let’s go to Kaggle and search using keyword image classification either under Datasets or Competitions. For example, we find the Shopee-IET Machine Learning Competition under the InClass tab in Competitions. We then navigate to Data to download the dataset using the Kaggle API. Please make sure ...

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    Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass

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  • May 22, 2019 · Plant Image Analysis: A collection of datasets spanning over 1 million images of plants. Can choose from 11 species of plants. Home Objects: A dataset that contains random objects from home, mostly from kitchen, bathroom and living room split into training and test datasets. CIFAR-10: A large image dataset of 60,000 32×32 colour images split ...

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    Oct 02, 2020 · Kaggle Datasets Expert: Highest Rank 63 in the World based on Kaggle Rankings (over 13k data scientists) Kaggle Notebooks Kaggle is a platform for predictive modeling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. A combination of a n=300k subset of the 512px SFW subset of Danbooru2017 and Nagadomi’s moeimouto face dataset are available as a Kaggle-hosted dataset: “Tagged Anime Illustrations” (36GB). Kaggle also hosts the metadata of Safebooru up to 2016-11-20: “Safebooru—Anime Image Metadata”. Model zoo. Currently available: taggers: Sep 01, 2018 · The Kaggle “Google AI Open Images - Object Detection Track” competition was quite challenging because: The dataset was huge. There were 1,743,042 images with 12,195,144 bounding boxes in total . And the total size of the training images was over 500GB. Time was very limited. The whole period of the competition was less than 2 months. Nov 02, 2018 · Not bad for a model trained on very little dataset (4000 images). But in real world/production scenarios, our model is actually under-performing. Although we suggested tuning some hyperparameters — epochs, learning rates, input size, network depth, backpropagation algorithms e.t.c — to see if we could increase our accuracy.

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  • Apr 26, 2018 · The client often has no dataset of images to start off with. They can’t simply use an off-the-shelf solution or API, because the typical 1000 objects in the off-the-shelf convolutional networks are not as broad as one would hope, and also a classifier that differentiates between 2 classes can be a lot more powerful than one with 1000.

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    To find image classification datasets in Kaggle, let’s go to Kaggle and search using keyword image classification either under Datasets or Competitions. For example, we find the Shopee-IET Machine Learning Competition under the InClass tab in Competitions. We then navigate to Data to download the dataset using the Kaggle API. Please make sure ... Jul 16, 2020 · Importing Kaggle dataset into google colaboratory Last Updated: 16-07-2020 While building a Deep Learning model, the first task is to import datasets online and this task proves to be very hectic sometimes.

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  • Jul 16, 2020 · Importing Kaggle dataset into google colaboratory Last Updated: 16-07-2020 While building a Deep Learning model, the first task is to import datasets online and this task proves to be very hectic sometimes.

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    This is the first dataset I ever created , so please do share your reviews on it :):) Content. The dataset consists of two compressed zip files: (1) ab.zip : This contains 25 .npy files consisting of a and b dimensions of LAB color space images, of the MIRFLICKR25k randomly sized colored image dataset. The LAB color space generally takes up ... Different from the images in the CIFAR-10 dataset used in the previous section, the images in the ImageNet dataset are higher and wider and their dimensions are inconsistent. Fig. 13.14.1 shows the information on the competition’s webpage. In order to submit the results, please register an account on the Kaggle website first.

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    Aug 15, 2018 · You can kind find image datasets, CSVs, financial time-series, movie reviews, etc. Additionally, all these datasets are totally free to download off of kaggle.com. 55,000 Song Lyrics — CSV This dataset is a matrix consisting of a quick description of each song and the entire song in text mining.

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  • Data Set Information: The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each instance is a 3x3 region. Attribute Information: 1. region-centroid-col: the column of the center pixel of the region. 2.

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    kaggle datasets list You can also search for datasets by adding the -s tag and then the search term you're interested in. So this would give you a list of datasets about dogs: kaggle datasets list -s dogs You can find more information on the API and how to use it in the documentation here. Hope that helps!
    This is the first dataset I ever created , so please do share your reviews on it :):) Content. The dataset consists of two compressed zip files: (1) ab.zip : This contains 25 .npy files consisting of a and b dimensions of LAB color space images, of the MIRFLICKR25k randomly sized colored image dataset. The LAB color space generally takes up ...
    Data Set Information: The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each instance is a 3x3 region. Attribute Information: 1. region-centroid-col: the column of the center pixel of the region. 2. This is the first dataset I ever created , so please do share your reviews on it :):) Content. The dataset consists of two compressed zip files: (1) ab.zip : This contains 25 .npy files consisting of a and b dimensions of LAB color space images, of the MIRFLICKR25k randomly sized colored image dataset. The LAB color space generally takes up ...
    This is the first dataset I ever created , so please do share your reviews on it :):) Content. The dataset consists of two compressed zip files: (1) ab.zip : This contains 25 .npy files consisting of a and b dimensions of LAB color space images, of the MIRFLICKR25k randomly sized colored image dataset. The LAB color space generally takes up ...

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  • Apr 06, 2019 · Import dataset. In Kaggle, all data files are located inside the input folder which is one level up from where the notebook is located. The images are inside the cell_images folder. Thus, I set up the data directory as DATA_DIR to point to that location. To store the features, I used the variable dataset and for labels I used label. For this project, I set each image size to be 64x64.

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    The original dataset consisted of 162 whole mount slide images of Breast Cancer (BCa) specimens scanned at 40x. From that, 277,524 patches of size 50 x 50 were extracted (198,738 IDC negative and 78,786 IDC positive).

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  • Oct 02, 2020 · The dataset is too large to unzip inside the kaggle notebook. Is there any way to read the image data inside the compressed (and divided, that is, zip.001 etc) files? python-3.x kaggle opencv-python

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    Figure 1: Data structure. Instead of downloading the whole dataset to your computer (which takes a lot of space), it is possible to create a notebook directly in Kaggle.

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  • Downloading Dataset From Kaggle . We first need to install the dependencies. As we will import data directly from Kaggle we need to install the package that supports that. So we have installed the Kaggle package using pip.!pip install kaggle. Now we will import data from Kaggle.

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    Four instances of poor quality images in Kaggle DR dataset. The quality of these images are too poor to identify the lesion. Unbalanced ratio. In our Kaggle DR image quality dataset, the number of good and poor quality images are shown as follows. The ratio is extremely unbalanced. Quality Label. The csv files are in quality_csv_label. quality ...

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  • Data Set Information: The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each instance is a 3x3 region. Attribute Information: 1. region-centroid-col: the column of the center pixel of the region. 2.

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    A combination of a n=300k subset of the 512px SFW subset of Danbooru2017 and Nagadomi’s moeimouto face dataset are available as a Kaggle-hosted dataset: “Tagged Anime Illustrations” (36GB). Kaggle also hosts the metadata of Safebooru up to 2016-11-20: “Safebooru—Anime Image Metadata”. Model zoo. Currently available: taggers:

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  • Oct 02, 2020 · Kaggle Datasets Expert: Highest Rank 63 in the World based on Kaggle Rankings (over 13k data scientists) Kaggle Notebooks Kaggle is a platform for predictive modeling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users.

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    Sep 01, 2018 · The Kaggle “Google AI Open Images - Object Detection Track” competition was quite challenging because: The dataset was huge. There were 1,743,042 images with 12,195,144 bounding boxes in total . And the total size of the training images was over 500GB. Time was very limited. The whole period of the competition was less than 2 months. In a standard Kaggle competition, users can access the complete datasets at the beginning of the competition, download the data, build models on the data locally or in Kaggle Notebooks (see below ...

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  • In a standard Kaggle competition, users can access the complete datasets at the beginning of the competition, download the data, build models on the data locally or in Kaggle Notebooks (see below ...

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    Create Public Datasets. Open a dialogue, accept contributions, and get insights: improve your dataset by publishing it on Kaggle.

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  • Dataset To start working on Kaggle there is a need to upload the dataset in the input directory. Below are the image snippets to do the same (follow the red marked shape). Click on ‘Add data’ which...

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    Nov 02, 2018 · Not bad for a model trained on very little dataset (4000 images). But in real world/production scenarios, our model is actually under-performing. Although we suggested tuning some hyperparameters — epochs, learning rates, input size, network depth, backpropagation algorithms e.t.c — to see if we could increase our accuracy.

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  • This is the first dataset I ever created , so please do share your reviews on it :):) Content. The dataset consists of two compressed zip files: (1) ab.zip : This contains 25 .npy files consisting of a and b dimensions of LAB color space images, of the MIRFLICKR25k randomly sized colored image dataset. The LAB color space generally takes up ...

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  • A group of researchers from Google Research and the Makerere University has released a new dataset of labeled and unlabeled cassava leaves along with a Kaggle challenge for fine-grained visual categorization. In the past decades or so, we have witnessed the use of computer vision techniques in the agriculture field.

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    The dataset used here is Intel Image Classification from Kaggle. Intel Image classification dataset is already split into train, test, and Val, and we will only use the training dataset to learn how to load the dataset using different libraries.

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  • Create Public Datasets. Open a dialogue, accept contributions, and get insights: improve your dataset by publishing it on Kaggle.

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    Downloading Dataset From Kaggle . We first need to install the dependencies. As we will import data directly from Kaggle we need to install the package that supports that. So we have installed the Kaggle package using pip.!pip install kaggle. Now we will import data from Kaggle.

    Hellcat rhino xt for saleA compiled dataset of 6899 images from 8 distinct classes. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.
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  • Data Set Information: The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each instance is a 3x3 region. Attribute Information: 1. region-centroid-col: the column of the center pixel of the region. 2.

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    Dataset To start working on Kaggle there is a need to upload the dataset in the input directory. Below are the image snippets to do the same (follow the red marked shape). Click on ‘Add data’ which... A compiled dataset of 6899 images from 8 distinct classes. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.

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  • The dataset used here is Intel Image Classification from Kaggle. Intel Image classification dataset is already split into train, test, and Val, and we will only use the training dataset to learn how to load the dataset using different libraries.

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    May 10, 2019 · The dataset contains: 5,232 chest X-ray images from children. 3,883 of those images are samples of bacterial (2,538) and viral (1,345) pneumonia. 1,349 samples are healthy lung X-ray images. The dataset is hosted on Kaggle and can be accessed at Chest X-Ray Images (Pneumonia). Part 1: Enable AutoML Cloud Vision on GCP (1).

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  • Apr 06, 2019 · Import dataset. In Kaggle, all data files are located inside the input folder which is one level up from where the notebook is located. The images are inside the cell_images folder. Thus, I set up the data directory as DATA_DIR to point to that location. To store the features, I used the variable dataset and for labels I used label. For this project, I set each image size to be 64x64.

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    Oct 02, 2020 · Kaggle Datasets Expert: Highest Rank 63 in the World based on Kaggle Rankings (over 13k data scientists) Kaggle Notebooks Kaggle is a platform for predictive modeling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users.

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  • A compiled dataset of 6899 images from 8 distinct classes. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.

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    Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. ... Datasets. Chest X-Ray Images ... Data Set Information: The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each instance is a 3x3 region. Attribute Information: 1. region-centroid-col: the column of the center pixel of the region. 2.

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  • To find image classification datasets in Kaggle, let’s go to Kaggle and search using keyword image classification either under Datasets or Competitions. For example, we find the Shopee-IET Machine Learning Competition under the InClass tab in Competitions. We then navigate to Data to download the dataset using the Kaggle API. Please make sure ...

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    Oct 10, 2018 · Each class contain 500 training images and 100 test images. CALTECH datasets [Classification] CALTECH-101 –101 classes with 40–800 images per class with dimension 300×200 pixels that are ...

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  • A group of researchers from Google Research and the Makerere University has released a new dataset of labeled and unlabeled cassava leaves along with a Kaggle challenge for fine-grained visual categorization. In the past decades or so, we have witnessed the use of computer vision techniques in the agriculture field.

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    Oct 02, 2020 · The dataset is too large to unzip inside the kaggle notebook. Is there any way to read the image data inside the compressed (and divided, that is, zip.001 etc) files? python-3.x kaggle opencv-python type - one of [S, F, M]. S stands for Sharp image, F - deFocused-blurred image and M - Motion-blurred image. The dataset contains 66 devices, these are typically smartphones, but several cameras are also provided. Download. The dataset on Kaggle was scaled to 2048 pixels by the widest side, you can download full images from Google drive: will be soon

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  • Oct 02, 2020 · The dataset is too large to unzip inside the kaggle notebook. Is there any way to read the image data inside the compressed (and divided, that is, zip.001 etc) files? python-3.x kaggle opencv-python

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    In this article, I’m going to explain my experiments with the Kaggle dataset “Chest X-ray Images (Pneumonia)” and how I tackled different problems in this journey which led to getting the perfect accuracy on the validation set and test sets. My goal is to show you the different tricks you can easily use with the help of fastai (v2) and to ... type - one of [S, F, M]. S stands for Sharp image, F - deFocused-blurred image and M - Motion-blurred image. The dataset contains 66 devices, these are typically smartphones, but several cameras are also provided. Download. The dataset on Kaggle was scaled to 2048 pixels by the widest side, you can download full images from Google drive: will be soon

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