Data set containing bitcoin transactions graph metadata (2011-2013)
https://t.me/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
👍7❤4
Medical Deepfakes: Lung Cancer.
CT scans tampered with cancer added or removed. Can you find them?
The dataset consists 100 CT scans of two sets (80 scans and 20 scans). The first 80 were used in a blind trial with the radiologists (they weren't told they were tampered), and the 20 scans were used in an open trial with the radiologists (they were told the truth and asked to identify them).
For each experiment there is a csv table containing the ground truth. Each row in the csv indicates where a real, fake, or removed cancer is located (x, y, and z [slice#]) and its classification. There are four classes:
Class Acronym Description
True-Benign TB: A location that actually has no cancer
True-Malicious TM: A location that has real cancer
False-Benign FB: A location that has real cancer, but it was removed.
False-Malicious FM: A location that does not have cancer, but fake cancer was injected there.
CT scans tampered with cancer added or removed. Can you find them?
The dataset consists 100 CT scans of two sets (80 scans and 20 scans). The first 80 were used in a blind trial with the radiologists (they weren't told they were tampered), and the 20 scans were used in an open trial with the radiologists (they were told the truth and asked to identify them).
For each experiment there is a csv table containing the ground truth. Each row in the csv indicates where a real, fake, or removed cancer is located (x, y, and z [slice#]) and its classification. There are four classes:
Class Acronym Description
True-Benign TB: A location that actually has no cancer
True-Malicious TM: A location that has real cancer
False-Benign FB: A location that has real cancer, but it was removed.
False-Malicious FM: A location that does not have cancer, but fake cancer was injected there.
👍11❤4🔥2
Please open Telegram to view this post
VIEW IN TELEGRAM
👍22❤5👎3🔥3
BraTS2020 Dataset (Training + Validation)
Brain Tumor Segmentation 2020 Dataset
Size: 42 GB
https://t.me/datasets1🌑
Brain Tumor Segmentation 2020 Dataset
Size: 42 GB
https://t.me/datasets1
Please open Telegram to view this post
VIEW IN TELEGRAM
❤10👍4👎1
Please open Telegram to view this post
VIEW IN TELEGRAM
👍12🔥4❤3
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
Please open Telegram to view this post
VIEW IN TELEGRAM
👍8❤3🔥2
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
Please open Telegram to view this post
VIEW IN TELEGRAM
❤8👍6🔥5
Please open Telegram to view this post
VIEW IN TELEGRAM
❤8👍4🔥2
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
Please open Telegram to view this post
VIEW IN TELEGRAM
👍10🔥3❤1
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
👍12❤6🔥2
👍16❤6🔥2
Kaggle Data Hub
archive.zip.002
Please 1️⃣ 0️⃣ 0️⃣ likes or ⭐️
Please open Telegram to view this post
VIEW IN TELEGRAM
🔥12❤5👎1