Skin-Disease-Dataset
skin infections, such as bacteria, viruses, fungi, and parasites.
About Dataset
Some types of pathogens — notably bacteria and fungi — are typically present on the skin, but if they become too numerous, the immune system can no longer manage them.In this case, an infection can result.The cause of a skin infection depends on the pathogen involved.
In this dataset image collected from internet.
this dataset there are total 8 class ,They are
Bacterial Infections- cellulitis
Bacterial Infections- impetigo
Fungal Infections - athlete -foot
Fungal Infections - nail-fungus
Fungal Infections - ringworm
Parasitic Infections - cutaneous-larva-migrans
Viral skin infections - chickenpox
Viral skin infections - shingles
https://news.1rj.ru/str/datasets1💫
skin infections, such as bacteria, viruses, fungi, and parasites.
About Dataset
Some types of pathogens — notably bacteria and fungi — are typically present on the skin, but if they become too numerous, the immune system can no longer manage them.In this case, an infection can result.The cause of a skin infection depends on the pathogen involved.
In this dataset image collected from internet.
this dataset there are total 8 class ,They are
Bacterial Infections- cellulitis
Bacterial Infections- impetigo
Fungal Infections - athlete -foot
Fungal Infections - nail-fungus
Fungal Infections - ringworm
Parasitic Infections - cutaneous-larva-migrans
Viral skin infections - chickenpox
Viral skin infections - shingles
https://news.1rj.ru/str/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍6❤2
OASIS Alzheimer's Detection
Large-scale brain MRI dataset for deep neural network analysis
About Dataset
The dataset used is the OASIS MRI dataset (https://sites.wustl.edu/oasisbrains/), which consists of 80,000 brain MRI images. The images have been divided into four classes based on Alzheimer's progression. The dataset aims to provide a valuable resource for analyzing and detecting early signs of Alzheimer's disease.
To make the dataset accessible, the original .img and .hdr files were converted into Nifti format (.nii) using FSL (FMRIB Software Library). The converted MRI images of 461 patients have been uploaded to a GitHub repository, which can be accessed in multiple parts.
For the neural network training, 2D images were used as input. The brain images were sliced along the z-axis into 256 pieces, and slices ranging from 100 to 160 were selected from each patient. This approach resulted in a comprehensive dataset for analysis.
Patient classification was performed based on the provided metadata and Clinical Dementia Rating (CDR) values, resulting in four classes: demented, very mild demented, mild demented, and non-demented. These classes enable the detection and study of different stages of Alzheimer's disease progression.
During the dataset preparation, the .nii MRI scans were converted to .jpg files. Although this conversion presented some challenges, the files were successfully processed using appropriate tools. The resulting dataset size is 1.3 GB.
https://news.1rj.ru/str/datasets1🌟
Large-scale brain MRI dataset for deep neural network analysis
About Dataset
The dataset used is the OASIS MRI dataset (https://sites.wustl.edu/oasisbrains/), which consists of 80,000 brain MRI images. The images have been divided into four classes based on Alzheimer's progression. The dataset aims to provide a valuable resource for analyzing and detecting early signs of Alzheimer's disease.
To make the dataset accessible, the original .img and .hdr files were converted into Nifti format (.nii) using FSL (FMRIB Software Library). The converted MRI images of 461 patients have been uploaded to a GitHub repository, which can be accessed in multiple parts.
For the neural network training, 2D images were used as input. The brain images were sliced along the z-axis into 256 pieces, and slices ranging from 100 to 160 were selected from each patient. This approach resulted in a comprehensive dataset for analysis.
Patient classification was performed based on the provided metadata and Clinical Dementia Rating (CDR) values, resulting in four classes: demented, very mild demented, mild demented, and non-demented. These classes enable the detection and study of different stages of Alzheimer's disease progression.
During the dataset preparation, the .nii MRI scans were converted to .jpg files. Although this conversion presented some challenges, the files were successfully processed using appropriate tools. The resulting dataset size is 1.3 GB.
https://news.1rj.ru/str/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍8🔥1
Fashion Dataset of Women with Text and Images to build Recommendar System.
Context: The data was created to build a Content Based Recommendation System using Text Data or Image Data which can Recommend similar Items to user.
https://news.1rj.ru/str/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍10🔥2❤1
Kaggle Data Hub
Please open Telegram to view this post
VIEW IN TELEGRAM
👍14❤3🔥2
Forwarded from Tomas
🤑EARN YOUR $100 TODAY! EASY!
Lisa Trader has launched a free marathon on her VIP channel.
Now absolutely everyone can earn from trading. It has become even easier to earn in the cryptocurrency market, you can start today!
WHAT DO YOU NEED TO START?
1. Subscribe to the channel SIGNALS BY LISA TRADER 📈.
2. Write “MARATHON” in private messages. She will then tell you how to get on the vip channel for absolutely FREE!
👉CLICK HERE👈
👉CLICK HERE👈
👉CLICK HERE👈
Lisa Trader has launched a free marathon on her VIP channel.
Now absolutely everyone can earn from trading. It has become even easier to earn in the cryptocurrency market, you can start today!
WHAT DO YOU NEED TO START?
1. Subscribe to the channel SIGNALS BY LISA TRADER 📈.
2. Write “MARATHON” in private messages. She will then tell you how to get on the vip channel for absolutely FREE!
👉CLICK HERE👈
👉CLICK HERE👈
👉CLICK HERE👈
👍3
Traffic 🚦 Signs Detection
Signs Detection For Self-Driving Cars (Computer Vision Project)
About Dataset
Name of Classes: Green Light, Red Light, Speed Limit 10, Speed Limit 100, Speed Limit 110, Speed Limit 120, Speed Limit 20, Speed Limit 30, Speed Limit 40, Speed Limit 50, Speed Limit 60, Speed Limit 70, Speed Limit 80, Speed Limit 90, Stop
Here are a few use cases for this project:
Autonomous Vehicle Navigation: The model can be used in self-driving car systems to recognize traffic signs accurately. This would enable autonomous vehicles to follow traffic rules and regulations, analyzing every sign whether it’s about speed limit or stop-and-go indications to navigate the roads safely.
Traffic Rule Compliance: This model can be used in driver assistance systems to ensure that drivers comply with all traffic rules. Alerts can be generated when drivers exceed the speed limit or don't stop at red lights, fostering safer roads.
Road Safety Training Programs: This model allows Driving schools and automotive companies to build simulations and education programs. These programs can guide new drivers in identifying and responding to different traffic signs, thus enhancing road safety knowledge.
Smart City Infrastructure: City authorities could use this model in connected CCTV or IoT infrastructure to track and monitor traffic compliance in real time, helping identify areas with frequent rule violations for potential improvement.
Road Network Analysis: Transportation engineering researchers can use this model to analyze how efficiently different sign classes are distributed and recognized around the city. This data can be instrumental in planning more efficient and safer road networks.
This dataset is a traffic sign image dataset containing 4969 samples, which dataset (as you can see in the image) is correctly divided into three parts: Train, Valid, and Test!!
Signs Detection For Self-Driving Cars (Computer Vision Project)
About Dataset
Name of Classes: Green Light, Red Light, Speed Limit 10, Speed Limit 100, Speed Limit 110, Speed Limit 120, Speed Limit 20, Speed Limit 30, Speed Limit 40, Speed Limit 50, Speed Limit 60, Speed Limit 70, Speed Limit 80, Speed Limit 90, Stop
Here are a few use cases for this project:
Autonomous Vehicle Navigation: The model can be used in self-driving car systems to recognize traffic signs accurately. This would enable autonomous vehicles to follow traffic rules and regulations, analyzing every sign whether it’s about speed limit or stop-and-go indications to navigate the roads safely.
Traffic Rule Compliance: This model can be used in driver assistance systems to ensure that drivers comply with all traffic rules. Alerts can be generated when drivers exceed the speed limit or don't stop at red lights, fostering safer roads.
Road Safety Training Programs: This model allows Driving schools and automotive companies to build simulations and education programs. These programs can guide new drivers in identifying and responding to different traffic signs, thus enhancing road safety knowledge.
Smart City Infrastructure: City authorities could use this model in connected CCTV or IoT infrastructure to track and monitor traffic compliance in real time, helping identify areas with frequent rule violations for potential improvement.
Road Network Analysis: Transportation engineering researchers can use this model to analyze how efficiently different sign classes are distributed and recognized around the city. This data can be instrumental in planning more efficient and safer road networks.
This dataset is a traffic sign image dataset containing 4969 samples, which dataset (as you can see in the image) is correctly divided into three parts: Train, Valid, and Test!!
👍10❤5
Kaggle Data Hub
archive.zip
Please 1️⃣ 0️⃣ 0️⃣ likes or ⭐️
Please open Telegram to view this post
VIEW IN TELEGRAM
🔥6
Forwarded from Machine Learning with Python
Join our paid channel on Telegram!
The channel includes a huge encyclopedia of important books in the fields of data science, artificial intelligence, and data analysis, as well as a large collection of high-rated and high-priced courses.
Choose your plan:
💎 Monthly subnoscription ($2 - automatic joining after payment is completed)
https://news.1rj.ru/str/+r_Tcx2c-oVU1OWNi
💎 Annual subnoscription ($12)
💎 Lifetime subnoscription ($17)
For annual and lifetime subnoscriptions, please contact me at @HusseinSheikho
The channel includes a huge encyclopedia of important books in the fields of data science, artificial intelligence, and data analysis, as well as a large collection of high-rated and high-priced courses.
Choose your plan:
https://news.1rj.ru/str/+r_Tcx2c-oVU1OWNi
For annual and lifetime subnoscriptions, please contact me at @HusseinSheikho
Please open Telegram to view this post
VIEW IN TELEGRAM
👍4
Medium articles dataset
Data about 6K+ articles published in 2019 from 7 different publications
This dataset contains information about randomly chosen medium articles published in 2019 from these 7 publications:
Towards Data Science
UX Collective
The Startup
The Writing Cooperative
Data Driven Investor
Better Humans
Better Marketing
https://news.1rj.ru/str/datasets1👩💻
Data about 6K+ articles published in 2019 from 7 different publications
This dataset contains information about randomly chosen medium articles published in 2019 from these 7 publications:
Towards Data Science
UX Collective
The Startup
The Writing Cooperative
Data Driven Investor
Better Humans
Better Marketing
https://news.1rj.ru/str/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍9
Human Segmentation Dataset - Supervise.ly
2667 images of a segmented person from Supervise.ly
Content: The dataset consists of 3 folders:
✅ collages - collages of original phoro, human figure flooded with color and segmentation mask.
✅ images - original images.
✅ masks - segmentation masks for images
https://news.1rj.ru/str/datasets1✅
2667 images of a segmented person from Supervise.ly
Content: The dataset consists of 3 folders:
https://news.1rj.ru/str/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍11❤1
archive.zip.002
409.8 MB
Human Segmentation Dataset - Supervise.ly
Don't forget to React❤️ to this msg if you want more content Like this 👍
#Kaggle #DataScience #AI #ML
https://news.1rj.ru/str/datasets1🏳
Don't forget to React
#Kaggle #DataScience #AI #ML
https://news.1rj.ru/str/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍20❤8🔥3
Please run this bot
And please if any one have telegram premium run this bot
https://news.1rj.ru/str/rating/app?startapp=ref_dc9b78418788114
And please if any one have telegram premium run this bot
https://news.1rj.ru/str/rating/app?startapp=ref_dc9b78418788114
Telegram
Rating
Become a king and earn $RATING!
Official channel @rating_community
Official channel @rating_community
❤2
Animal Image Dataset - Cats, Dogs, and Foxes
About Dataset
This dataset contains 300 images of three types of animals: cats, dogs, and foxes. Each category has 100 pictures. The images can help in learning about animals and building computer programs that recognize them. You can use this dataset for school projects, studies in artificial intelligence, or just to learn more about these animals
Don't forget to React❤️ to this msg if you want more content Like this 👍
#Kaggle #DataScience #AI #ML
https://news.1rj.ru/str/datasets1✅
About Dataset
This dataset contains 300 images of three types of animals: cats, dogs, and foxes. Each category has 100 pictures. The images can help in learning about animals and building computer programs that recognize them. You can use this dataset for school projects, studies in artificial intelligence, or just to learn more about these animals
Don't forget to React
#Kaggle #DataScience #AI #ML
https://news.1rj.ru/str/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍5🔥3❤2
Please open Telegram to view this post
VIEW IN TELEGRAM
👍5🔥4❤1
LOOKING FOR A NEW SOURCE OF INCOME?
Average earnings from 100$ a day
Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel.
WHAT YOU NEED TO WORK:
1. phone or computer
2. Free 15-20 minutes a day
3. desire to earn
❗️ Requires 20 people ❗️
Access is available at the link below
👇
https://news.1rj.ru/str/+FcwoGw3QeO40NmIx
Average earnings from 100$ a day
Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel.
WHAT YOU NEED TO WORK:
1. phone or computer
2. Free 15-20 minutes a day
3. desire to earn
❗️ Requires 20 people ❗️
Access is available at the link below
👇
https://news.1rj.ru/str/+FcwoGw3QeO40NmIx
👍4