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Face Mask 😷 Detection
853 images belonging to 3 classes.
This dataset contains 853 images belonging to the 3 classes, as well as their bounding boxes in the PASCAL VOC format.
The classes are:
✅ With mask
✅ Without mask
✅ Mask worn incorrectly
https://t.me/datasets1✅
853 images belonging to 3 classes.
This dataset contains 853 images belonging to the 3 classes, as well as their bounding boxes in the PASCAL VOC format.
The classes are:
https://t.me/datasets1
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Climate Change: Earth Surface Temperature Data
Size: 600 MB
In this dataset, we have include several files:
Global Land and Ocean-and-Land Temperatures (GlobalTemperatures.csv):
Global Average Land Temperature by Country (GlobalLandTemperaturesByCountry.csv)
Global Average Land Temperature by State (GlobalLandTemperaturesByState.csv)
Global Land Temperatures By Major City (GlobalLandTemperaturesByMajorCity.csv)
Global Land Temperatures By City (GlobalLandTemperaturesByCity.csv)
https://t.me/datasets1🐍
Size: 600 MB
In this dataset, we have include several files:
Global Land and Ocean-and-Land Temperatures (GlobalTemperatures.csv):
Global Average Land Temperature by Country (GlobalLandTemperaturesByCountry.csv)
Global Average Land Temperature by State (GlobalLandTemperaturesByState.csv)
Global Land Temperatures By Major City (GlobalLandTemperaturesByMajorCity.csv)
Global Land Temperatures By City (GlobalLandTemperaturesByCity.csv)
https://t.me/datasets1
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Wheat Leaf dataset
disease affected and healthy wheat leaf
Size: 1.52 GB
The data contains 102 healthy, 208 stripe rust, and 97 septoria detected wheat leaf.
https://t.me/datasets1✅
disease affected and healthy wheat leaf
Size: 1.52 GB
The data contains 102 healthy, 208 stripe rust, and 97 septoria detected wheat leaf.
https://t.me/datasets1
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Cervical Cancer largest dataset (SipakMed)
Cell images pap smear for cervical cancer detection
Cervical cancer is the fourth most common cancer among women in the world, estimated more than 0.53 million women are diagnosed in every year but more than 0.28 million women’s lives are taken by cervical cancer in every years . Detection of the cervical cancer cell has played a very important role in clinical practice.
https://t.me/datasets1
Cell images pap smear for cervical cancer detection
Cervical cancer is the fourth most common cancer among women in the world, estimated more than 0.53 million women are diagnosed in every year but more than 0.28 million women’s lives are taken by cervical cancer in every years . Detection of the cervical cancer cell has played a very important role in clinical practice.
https://t.me/datasets1
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Kaggle Data Hub
archive.zip.002
Please 1️⃣ 0️⃣ 0️⃣ likes or ⭐️
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Hey guys,
As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news.
This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you.
If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try.
Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN
It’s time to read less and know more!
As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news.
This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you.
If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try.
Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN
It’s time to read less and know more!
Google Play
DevBytes-For Busy Developers – Apps on Google Play
Get the latest tech news, coding tips, and programming insights for developers.
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Kaggle Data Hub
Hey guys, As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news. This brilliant app provides curated, bite-sized updates…
I highly recommend downloading the app, there is a solid guide to mastering AI.
👍2
📈How to make $15,000 in a month in 2024?
Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
She was able to make over $15,000 in the last month! ❗️
Right now she has started a marathon on her channel and is running it absolutely free. 💡
To participate in the marathon, you will need to :
1. Subscribe to the channel SIGNALS BY LISA TRADER 📈
2. Write in private messages : “Marathon” and start participating!
👉CLICK HERE👈
Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
She was able to make over $15,000 in the last month! ❗️
Right now she has started a marathon on her channel and is running it absolutely free. 💡
To participate in the marathon, you will need to :
1. Subscribe to the channel SIGNALS BY LISA TRADER 📈
2. Write in private messages : “Marathon” and start participating!
👉CLICK HERE👈
👍1
Forwarded from Tomas
📈How to make $15,000 in a month in 2024?
Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
She was able to make over $15,000 in the last month! ❗️
Right now she has started a marathon on her channel and is running it absolutely free. 💡
To participate in the marathon, you will need to :
1. Subscribe to the channel SIGNALS BY LISA TRADER 📈
2. Write in private messages : “Marathon” and start participating!
👉CLICK HERE👈
Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
She was able to make over $15,000 in the last month! ❗️
Right now she has started a marathon on her channel and is running it absolutely free. 💡
To participate in the marathon, you will need to :
1. Subscribe to the channel SIGNALS BY LISA TRADER 📈
2. Write in private messages : “Marathon” and start participating!
👉CLICK HERE👈
❤1👍1
Eye-dataset
Eye seeing in that direction
Context:
The image data was gathered for automating an wheelchair. It can controlled by direction given by eye.
Content:
The image dataset consists of four folder and comprising a total of 14.5k images.
The images in the dataset are regularized and augmented so that we can achieve more than 96% accuracy on the first training session.
https://t.me/datasets1👍
Eye seeing in that direction
Context:
The image data was gathered for automating an wheelchair. It can controlled by direction given by eye.
Content:
The image dataset consists of four folder and comprising a total of 14.5k images.
The images in the dataset are regularized and augmented so that we can achieve more than 96% accuracy on the first training session.
https://t.me/datasets1
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Handwriting Recognition
Transcriptions of 400,000 handwritten names
About Dataset
Overview
This dataset consists of more than four hundred thousand handwritten names collected through charity projects.
Character Recognition utilizes image processing technologies to convert characters on scanned documents into digital forms. It typically performs well in machine-printed fonts. However, it still poses difficult challenges for machines to recognize handwritten characters, because of the huge variation in individual writing styles.
There are 206,799 first names and 207,024 surnames in total. The data was divided into a training set (331,059), testing set (41,382), and validation set (41,382) respectively.
Content
The input data here are hundreds of thousands of images of handwritten names. In the Data, you’ll find the transcribed images broken up into test, training, and validation sets.
Image Lable follow the following naming format enabling you to extend the data set with your own data.
https://t.me/datasets1⭐️
Transcriptions of 400,000 handwritten names
About Dataset
Overview
This dataset consists of more than four hundred thousand handwritten names collected through charity projects.
Character Recognition utilizes image processing technologies to convert characters on scanned documents into digital forms. It typically performs well in machine-printed fonts. However, it still poses difficult challenges for machines to recognize handwritten characters, because of the huge variation in individual writing styles.
There are 206,799 first names and 207,024 surnames in total. The data was divided into a training set (331,059), testing set (41,382), and validation set (41,382) respectively.
Content
The input data here are hundreds of thousands of images of handwritten names. In the Data, you’ll find the transcribed images broken up into test, training, and validation sets.
Image Lable follow the following naming format enabling you to extend the data set with your own data.
https://t.me/datasets1
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