π Dataset Name: MRI for Brain Tumor with Bounding Boxes
π«₯ MRI Images for Brain Tumors For Object Detection or Classification
π This dataset contains high-quality MRI images of brain tumors with detailed annotations. The dataset is meticulously curated, cleaned, and annotated to aid in the development and evaluation of machine learning models for brain tumor detection and classification.
π² From: Kaggle
π€ Size: 139 MB
π https://t.me/datasets1
π«₯ MRI Images for Brain Tumors For Object Detection or Classification
π This dataset contains high-quality MRI images of brain tumors with detailed annotations. The dataset is meticulously curated, cleaned, and annotated to aid in the development and evaluation of machine learning models for brain tumor detection and classification.
π² From: Kaggle
π€ Size: 139 MB
π https://t.me/datasets1
π9
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π10π₯1
π Dataset Name: Captcha Images
π«₯ Captcha Images with different styles, fonts, colors
π These images consist of 10-character strings with randomized colors and alignment.
The filenames are the text present in the captcha images. Currently, there are 10000 images.
π² From: Kaggle
π€ Size: 32.2 MB
π https://t.me/datasets1
π«₯ Captcha Images with different styles, fonts, colors
π These images consist of 10-character strings with randomized colors and alignment.
The filenames are the text present in the captcha images. Currently, there are 10000 images.
π² From: Kaggle
π€ Size: 32.2 MB
π https://t.me/datasets1
π11β€2
Captcha Images.zip
32.2 MB
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π Dataset Name: Trending YouTube Videos 2019 to 2020
π«₯ Comprehensive Statistics on Trending YouTube Videos from 2019 to 2020
π This dataset contains statistics for a selection of YouTube videos, capturing metrics such as views, comments, likes, dislikes, and the timestamp when the data was recorded. The dataset provides insights into the popularity and engagement levels of these videos as of April 15, 2019.
This data can be useful for analyzing trends in video performance, user engagement, and the impact of content over time.
π² From: Kaggle
π€ Size: 25.7 MB
π https://t.me/datasets1
π«₯ Comprehensive Statistics on Trending YouTube Videos from 2019 to 2020
π This dataset contains statistics for a selection of YouTube videos, capturing metrics such as views, comments, likes, dislikes, and the timestamp when the data was recorded. The dataset provides insights into the popularity and engagement levels of these videos as of April 15, 2019.
This data can be useful for analyzing trends in video performance, user engagement, and the impact of content over time.
π² From: Kaggle
π€ Size: 25.7 MB
π https://t.me/datasets1
π7β€2
Trending YouTube Videos .zip
25.7 MB
π₯°5π3π₯1
Forwarded from Nagmani
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- β She magically understands you (even when you donβt understand yourself)?
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π Dataset Name: Google Play Store Apps
π«₯ Web scraped data of 10k Play Store apps for analysing the Android market.
π The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market!
π² From: Kaggle
π€ Size: 1.9 MB
π https://t.me/datasets1
π«₯ Web scraped data of 10k Play Store apps for analysing the Android market.
π The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market!
π² From: Kaggle
π€ Size: 1.9 MB
π https://t.me/datasets1
π7π₯2β€1
Google Play Store Apps.zip
1.9 MB
π6π₯3
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π Dataset Name: Social Media Posts in Arabic Dialect
π«₯ Labeled Dataset of ~50K Social Media Posts in Various Arabic Dialects
π This dataset contains a labeled collection of approximately 50,000 social media posts in various Arabic dialects. Each post has been manually annotated with sentiment labels, providing a rich resource for natural language processing and sentiment analysis research.
π² From: Kaggle
π€ Size: 2.3 MB
π https://t.me/datasets1
π«₯ Labeled Dataset of ~50K Social Media Posts in Various Arabic Dialects
π This dataset contains a labeled collection of approximately 50,000 social media posts in various Arabic dialects. Each post has been manually annotated with sentiment labels, providing a rich resource for natural language processing and sentiment analysis research.
π² From: Kaggle
π€ Size: 2.3 MB
π https://t.me/datasets1
π6π2β€1π₯1
Social Media Posts.zip
2.3 MB
π4β€1π₯1
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