Dataset Name: Grass Clover Dataset
Basic Description: Biomass composition challenge Train and Test set

📖 FULL DATASET DESCRIPTION:
==================================
The GrassClover dataset is a diverse image and biomass dataset collected in an outdoor agricultural setting. The images contain dense populations of grass and clover mixtures with heavy occlusions and occurrences of weeds.
The dataset is collected with three different acquisition systems with ground sampling distances of 4–8 pixel per mm. The observed mixed crops vary both in setting (field vs plot trial), seed compositions, yield, years since establishment and time of the season.
Synthetic training images with pixel-wise hierarchical and instance labels are provided for supervised training. An overview of the synthetic labels classes and hierarchy is shown in the figure.
31600 unlabeled images are additionally provided for pre-training, semi-supervised training or unsupervised training.
Research Paper
https://openaccess.thecvf.com/content_CVPRW_2019/html/CVPPP/Skovsen_The_GrassClover_Image_Dataset_for_Semantic_and_Hierarchical_Species_Understanding_CVPRW_2019_paper.html
@InProceedings{Skovsen_2019_CVPR_Workshops, author = {Skovsen, Soren and Dyrmann, Mads and Mortensen, Anders K. and Laursen, Morten S. and Gislum, Rene and Eriksen, Jorgen and Farkhani, Sadaf and Karstoft, Henrik and Jorgensen, Rasmus N.}, title = {The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2019} }

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (2 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/usharengaraju/grassclover-dataset

📊 Additional information:
==================================
File count not found
Views: 13,300
Downloads: 854

📚 RELATED NOTEBOOKS:
==================================
1. Pollen Grain Image Classification | Upvotes: 32
URL: https://www.kaggle.com/datasets/andrewmvd/pollen-grain-image-classification

2. Starter: GrassClover Dataset c4fa525f-2 | Upvotes: 10
URL: https://www.kaggle.com/code/kerneler/starter-grassclover-dataset-c4fa525f-2

3. Global Wheat Challenge 2021 | Upvotes: 9
URL: https://www.kaggle.com/datasets/bendvd/global-wheat-challenge-2021

4. Background Image Data | Upvotes: 8
URL: https://www.kaggle.com/code/dipuk0506/background-image-data

5. OpenSprayerSeg | Upvotes: 1
URL: https://www.kaggle.com/datasets/thatawkwardguy/opensprayerseg

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: A Million News Headlines
Basic Description: News headlines published over a period of 19 Years

📖 FULL DATASET DESCRIPTION:
==================================
This contains data of news headlines published over a period of nineteen years.
Sourced from the reputable Australian news source ABC (Australian Broadcasting Corporation)
Agency Site: (http://www.abc.net.au)
Format: CSV ; Single File
Start Date: 2003-02-19 ; End Date: 2021-12-31
I look at this news dataset as a summarised historical record of noteworthy events in the globe from early-2003 to end-2021 with a more granular focus on Australia.
This includes the entire corpus of articles published by the abcnews website in the given date range. With a volume of two hundred articles per day and a good focus on international news, we can be fairly certain that every event of significance has been captured here.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (22 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/therohk/million-headlines

📊 Additional information:
==================================
File count not found
Views: 285,000
Downloads: 45,200

📚 RELATED NOTEBOOKS:
==================================
1. Topic Modelling with LSA and LDA | Upvotes: 893
URL: https://www.kaggle.com/code/rcushen/topic-modelling-with-lsa-and-lda

2. K-means Clustering of 1 million headlines | Upvotes: 370
URL: https://www.kaggle.com/code/thebrownviking20/k-means-clustering-of-1-million-headlines

3. Topic Modelling using LDA and LSA in Sklearn | Upvotes: 184
URL: https://www.kaggle.com/code/rajmehra03/topic-modelling-using-lda-and-lsa-in-sklearn

4. Global News Dataset | Upvotes: 46
URL: https://www.kaggle.com/datasets/everydaycodings/global-news-dataset

5. BBC Persian Archive | Upvotes: 12
URL: https://www.kaggle.com/datasets/malekzadeharman/bbc-persian-archive

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Disease Risk from Daily Habits
Basic Description: A rich dataset with lifestyle, biometric, behavioral, and demographic indicators

📖 FULL DATASET DESCRIPTION:
==================================
This dataset contains detailed lifestyle and biometric information from 100,000 individuals. The goal is to predict the likelihood of having a disease based on habits, health metrics, demographics, and psychological indicators.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (22 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mahdimashayekhi/disease-risk-from-daily-habits

📊 Additional information:
==================================
File count not found
Views: 3,891
Downloads: 1,339

📚 RELATED NOTEBOOKS:
==================================
1. Heart Attack Risk Prediction Dataset | Upvotes: 273
URL: https://www.kaggle.com/datasets/iamsouravbanerjee/heart-attack-prediction-dataset

2. Diabetes_prediction_dataset | Upvotes: 88
URL: https://www.kaggle.com/datasets/marshalpatel3558/diabetes-prediction-dataset

3. Health & Lifestyle Dataset | Upvotes: 37
URL: https://www.kaggle.com/datasets/mahdimashayekhi/health-and-lifestyle-dataset

4. 🧬 Predicting Disease Risk from Daily Habits | Upvotes: 11
URL: https://www.kaggle.com/code/mahdimashayekhi/predicting-disease-risk-from-daily-habits

5. Stress Level Prediction | Upvotes: 6
URL: https://www.kaggle.com/datasets/shijo96john/stress-level-prediction

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Flight Status Prediction
Basic Description: Can you predict which flights will be delayed or cancelled in 5 years of data?

📖 FULL DATASET DESCRIPTION:
==================================
This dataset makes all of these possible. Perfect for a school project, research project or resume builder.
This dataset contains all flight information including cancellation and delays by airline for dates back to January 2018.
For your convenience you can use the Combined_Flights_XXXX.csv or Combined_Flights_XXXX.parquet files to access the combined data for the entire year. These files also have filtered out columns that are mostly null in the original dataset.
The raw data including all columns by month can be found in the files named Flights_XXXX_X.csv
The data contained in the compressed file has been extracted from the Marketing Carrier On-Time Performance (Beginning January 2018) data table of the "On-Time" database from the TranStats data library. The time period is indicated in the name of the compressed file; for example, XXX_XXXXX_2001_1 contains data of the first month of the year 2001.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (4 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/robikscube/flight-delay-dataset-20182022

📊 Additional information:
==================================
File count not found
Views: 130,000
Downloads: 25,100

📚 RELATED NOTEBOOKS:
==================================
1. Pandas 2.0.1 Tutorial | Upvotes: 415
URL: https://www.kaggle.com/code/lizhecheng/pandas-2-0-1-tutorial

2. Flight Delay - Exploratory Data Analysis [Twitch] | Upvotes: 146
URL: https://www.kaggle.com/code/robikscube/flight-delay-exploratory-data-analysis-twitch

3. Flight Dataset | Upvotes: 57
URL: https://www.kaggle.com/code/rezashokrzad/flight-dataset

4. Flight Delay and Causes | Upvotes: 17
URL: https://www.kaggle.com/datasets/undersc0re/flight-delay-and-causes

5. flight delays | Upvotes: 15
URL: https://www.kaggle.com/datasets/mrferozi/flight-delays

==================================
⭐️ By: https://t.me/datasets1

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Dataset Name: Body performance Data
Basic Description: multi class classification

📖 FULL DATASET DESCRIPTION:
==================================
This is data that confirmed the grade of performance with age and some exercise performance data.
data shape : (13393, 12)

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (255 kB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/kukuroo3/body-performance-data

📊 Additional information:
==================================
File count not found
Views: 103,000
Downloads: 17,700

📚 RELATED NOTEBOOKS:
==================================
1. Gym Members Exercise Dataset | Upvotes: 454
URL: https://www.kaggle.com/datasets/valakhorasani/gym-members-exercise-dataset

2. 📌🧐Guide to Complete Statistical Analysis📊✅ | Upvotes: 235
URL: https://www.kaggle.com/code/shivanirana63/guide-to-complete-statistical-analysis

3. Body Performance Count | LuciferML | EDA | Models | Upvotes: 78
URL: https://www.kaggle.com/code/d4rklucif3r/body-performance-count-luciferml-eda-models

4. Visualization and Prediction by Auto ML | Upvotes: 55
URL: https://www.kaggle.com/code/sasakitetsuya/visualization-and-prediction-by-auto-ml

5. Human Age Prediction Synthetic Dataset | Upvotes: 54
URL: https://www.kaggle.com/datasets/abdullah0a/human-age-prediction-synthetic-dataset

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Lacuna Malaria Detection Challenge Dataset
Basic Description: Description not found

📖 FULL DATASET DESCRIPTION:
==================================
The images in the dataset were captured by placing a smartphone over a microscope to capture the Field of View (FOV) of the blood slide through the eyepiece of the microscope. Along with the image, the slide from which the image was captured, the stage micrometer readings of the microscope, and the objective lens settings were recorded, and a maximum of 40 images was captured from each slide.
This blood slide image dataset was curated to facilitate using Computer Vision techniques for quick and accurate diagnosis of malaria in low-resource settings. This dataset adds to existing malaria microscopy datasets and can be used to improve machine learning models to generalise to data collected in other communities like Uganda.
There are 2 747 images in the train and 1 178 in the test.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (4 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/rajsahu2004/lacuna-malaria-detection-dataset

📊 Additional information:
==================================
File count not found
Views: 9,764
Downloads: 1,379

📚 RELATED NOTEBOOKS:
==================================
1. ComputerVision_End-to-End _TransferLearning | Upvotes: 33
URL: https://www.kaggle.com/code/swarnabh31/computervision-end-to-end-transferlearning

2. Perfect Lacuna Malaria Detector | Upvotes: 22
URL: https://www.kaggle.com/code/killa92/perfect-lacuna-malaria-detector

3. Blood Cell Segmentation Dataset | Upvotes: 15
URL: https://www.kaggle.com/datasets/jeetblahiri/bccd-dataset-with-mask

4. ComputerVision_LacunaMalariaDetection_SimpleCNN | Upvotes: 13
URL: https://www.kaggle.com/code/swarnabh31/computervision-lacunamalariadetection-simplecnn

5. Low Light Imaging Dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/arjav007/low-light-mosquito-images

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: A Large Scale Fish Dataset
Basic Description: A Large-Scale Dataset for Fish Segmentation and Classification

📖 FULL DATASET DESCRIPTION:
==================================
A Large-Scale Dataset for Segmentation and Classification
Authors: O. Ulucan, D. Karakaya, M. Turkan Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir, Turkey Corresponding author: M. Turkan Contact Information: mehmet.turkan@ieu.edu.tr
General Introduction
This dataset contains 9 different seafood types collected from a supermarket in Izmir, Turkey for a university-industry collaboration project at Izmir University of Economics, and this work was published in ASYU 2020. The dataset includes gilt head bream, red sea bream, sea bass, red mullet, horse mackerel, black sea sprat, striped red mullet, trout, shrimp image samples.
If you use this dataset in your work, please consider to cite:
@inproceedings{ulucan2020large, title={A Large-Scale Dataset for Fish Segmentation and Classification}, author={Ulucan, Oguzhan and Karakaya, Diclehan and Turkan, Mehmet}, booktitle={2020 Innovations in Intelligent Systems and Applications Conference (ASYU)}, pages={1--5}, year={2020}, organization={IEEE} }

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (3 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/crowww/a-large-scale-fish-dataset

📊 Additional information:
==================================
Total files: 18,400
Views: 290,000
Downloads: 30,800

📚 RELATED NOTEBOOKS:
==================================
1. Fish classifier & Grad-CAM viz (acc. 99,89%)🐟 | Upvotes: 397
URL: https://www.kaggle.com/code/databeru/fish-classifier-grad-cam-viz-acc-99-89

2. Fish Analysis 🐠🐠🐡🐡 ♓️ ♓️ | Upvotes: 308
URL: https://www.kaggle.com/code/fahadmehfoooz/fish-analysis

3. 🐟 Fish Image Species Classification | Upvotes: 215
URL: https://www.kaggle.com/code/gcdatkin/fish-image-species-classification

4. Fish Dataset | Upvotes: 52
URL: https://www.kaggle.com/datasets/markdaniellampa/fish-dataset

5. Tilapia Fresh and Non Fresh Image Dataset | Upvotes: 6
URL: https://www.kaggle.com/datasets/haripriyasanga/tilapia-fish-fresh-and-non-fresh-species

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: CT KIDNEY DATASET: Normal-Cyst-Tumor and Stone
Basic Description: Dataset to detect auto Kidney Disease Analysis

📖 FULL DATASET DESCRIPTION:
==================================
CT KIDNEY DATASET: Normal-Cyst-Tumor and Stone
The dataset was collected from PACS (Picture archiving and communication system) from different hospitals in Dhaka, Bangladesh where patients were already diagnosed with having a kidney tumor, cyst, normal or stone findings. Both the Coronal and Axial cuts were selected from both contrast and non-contrast studies with protocol for the whole abdomen and urogram. The Dicom study was then carefully selected, one diagnosis at a time, and from those we created a batch of Dicom images of the region of interest for each radiological finding. Following that, we excluded each patient's information and meta data from the Dicom images and converted the Dicom images to a lossless jpg image format. After the conversion, each image finding was again verified by a radiologist and a medical technologist to reconfirm the correctness of the data.
Our created dataset contains 12,446 unique data within it in which the cyst contains 3,709, normal 5,077, stone 1,377, and tumor 2,283
Kindly Cite if you are finding this helpful-
Islam MN, Hasan M, Hossain M, Alam M, Rabiul G, Uddin MZ, Soylu A. Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography. Scientific Reports. 2022 Jul 6;12(1):1-4.
Thanks to Mehedi Hasan, Medical Technologist, who assisted to gather all the data from different hospitals.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (2 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/nazmul0087/ct-kidney-dataset-normal-cyst-tumor-and-stone

📊 Additional information:
==================================
Total files: 12,400
Views: 114,000
Downloads: 24,500

📚 RELATED NOTEBOOKS:
==================================
1. KIDNEY-diseases 0.999 accuracy | Upvotes: 132
URL: https://www.kaggle.com/code/akshayr009/kidney-diseases-0-999-accuracy

2. KidneyVision | Upvotes: 111
URL: https://www.kaggle.com/code/atifaliak/kidneyvision

3. Kidney Disease Classifier With 99% (CNN) | Upvotes: 109
URL: https://www.kaggle.com/code/ahmedbadr22/kidney-disease-classifier-with-99-cnn

4. Kidney Stone Images with Bounding Box Annotations | Upvotes: 69
URL: https://www.kaggle.com/datasets/safurahajiheidari/kidney-stone-images

5. Kidney Stone | Classification and Object Detection | Upvotes: 26
URL: https://www.kaggle.com/datasets/imtkaggleteam/kidney-stone-classification-and-object-detection

==================================
⭐️ By: https://t.me/datasets1

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Dataset Name: COVID19 Tweets
Basic Description: Tweets with the hashtag #covid19

📖 FULL DATASET DESCRIPTION:
==================================
These tweets are collected using Twitter API and a Python script. A query for this high-frequency hashtag (#covid19) is run on a daily basis for a certain time period, to collect a larger number of tweets samples.
The collection script can be found here: https://github.com/gabrielpreda/covid-19-tweets
The tweets have #covid19 hashtag. Collection started on 25/7/2020, with an initial 17k batch and will continue on a daily basis.
You can use this data to dive into the subjects that use this hashtag, look to the geographical distribution, evaluate sentiments, looks to trends.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (29 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/gpreda/covid19-tweets

📊 Additional information:
==================================
File count not found
Views: 199,000
Downloads: 25,400

📚 RELATED NOTEBOOKS:
==================================
1. 🦠COVID-19: Sentiment Analysis & Social Networks | Upvotes: 546
URL: https://www.kaggle.com/code/andradaolteanu/covid-19-sentiment-analysis-social-networks

2. Text-Representations | Upvotes: 424
URL: https://www.kaggle.com/code/nkitgupta/text-representations

3. Covid 19 tweet sentiment analysis | Upvotes: 246
URL: https://www.kaggle.com/code/alankritamishra/covid-19-tweet-sentiment-analysis

4. Black Friday Tweets | Upvotes: 18
URL: https://www.kaggle.com/datasets/mathurinache/black-friday-tweets

5. COVID-19 Tweets (Second Wave) | Upvotes: 9
URL: https://www.kaggle.com/datasets/himanshutripathi/covid19-tweets-second-wave

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Underwater Object Detection Dataset
Basic Description: Yolov5 PyTorch format underwater life dataset for object detection

📖 FULL DATASET DESCRIPTION:
==================================
The dataset contains 7 classes of underwater creatures with provided bboxes locations for every animal. The dataset is already split into the train, validation, and test sets.
It includes 638 images.
The following pre-processing was applied to each image:

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (70 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/slavkoprytula/aquarium-data-cots

📊 Additional information:
==================================
File count not found
Views: 34,600
Downloads: 7,348

📚 RELATED NOTEBOOKS:
==================================
1. Underwater_Object_Detection_with_YOLO_v8 | Upvotes: 103
URL: https://www.kaggle.com/code/quydau/underwater-object-detection-with-yolo-v8

2. Underwater Object Detection | Upvotes: 99
URL: https://www.kaggle.com/code/ahmedabdelkhaleq/underwater-object-detection

3. Underwater Object Detection with Faster R-CNN | Upvotes: 64
URL: https://www.kaggle.com/code/lowmist/underwater-object-detection-with-faster-r-cnn

4. Penguins vs Turtles | Upvotes: 34
URL: https://www.kaggle.com/datasets/abbymorgan/penguins-vs-turtles

5. Underwater Dataset | Upvotes: 11
URL: https://www.kaggle.com/datasets/akshatsng/underwater-dataset-for-8-classes-with-label

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Diabetes dataset
Basic Description: Diabetes_updated_Dataset

📖 FULL DATASET DESCRIPTION:
==================================
There are 2 types of diabetes viz. insulin-dependent diabetes mellitus (IDDM)/Type-I diabetes and non-insulin-dependent diabetes mellitus (NIDDM)/Type-II diabetes. Type-I is a disorder of carbohydrate metabolism due to insufficient insulin secretion which could be hereditary or acquired. Type-II diabetes is a condition in which the sensitivity of body cells to insulin gets reduced.
The dataset contains information about Pima Indian women, and it is often used to build predictive models to determine whether a person has diabetes based on certain features or risk factors. The dataset includes the following attributes:
Pregnancies: Number of times the woman has been pregnant. Glucose: Plasma glucose concentration in an oral glucose tolerance test. BloodPressure: Diastolic blood pressure (mm Hg). SkinThickness: Triceps skinfold thickness (mm). Insulin: 2-Hour serum insulin (mu U/ml). BMI: Body mass index (weight in kg / (height in meters)^2). DiabetesPedigreeFunction: A function that scores the likelihood of diabetes based on family history. Age: Age in years. Outcome: The target variable; 0 for no diabetes, 1 for diabetes.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (9 kB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/ashishkumarjayswal/diabetes-dataset

📊 Additional information:
==================================
File count not found
Views: 6,459
Downloads: 1,393

📚 RELATED NOTEBOOKS:
==================================
1. Diabetes Dataset | Upvotes: 74
URL: https://www.kaggle.com/datasets/hasibur013/diabetes-dataset

2. India Diabetes Prediction | Upvotes: 19
URL: https://www.kaggle.com/code/ashishkumarjayswal/india-diabetes-prediction

3. Diabets Notebook | Upvotes: 14
URL: https://www.kaggle.com/code/cauelias/diabets-notebook

4. Diabetes Prediction | Upvotes: 9
URL: https://www.kaggle.com/code/harshitaaswani/diabetes-prediction

5. Diabetes pima-indians-diabetes-database | Upvotes: 5
URL: https://www.kaggle.com/datasets/imkrkannan/diabetes-pimaindiansdiabetesdatabase

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Air Quality Dataset
Basic Description: Hourly averaged responses from an array of 5 metal oxide chemical sensors

📖 FULL DATASET DESCRIPTION:
==================================
This dataset contains the responses of a gas multisensor device deployed on the field in an Italian city. Hourly responses averages are recorded along with gas concentrations references from a certified analyzer. This dataset was taken from UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php
The dataset contains 9357 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multisensor Device. The device was located on the field in a significantly polluted area, at road level,within an Italian city. Data were recorded from March 2004 to February 2005 (one year) representing the longest freely available recordings of on field deployed air quality chemical sensor devices responses. Ground Truth hourly averaged concentrations for CO, Non Metanic Hydrocarbons, Benzene, Total Nitrogen Oxides (NOx) and Nitrogen Dioxide (NO2) and were provided by a co-located reference certified analyzer. Evidences of cross-sensitivities as well as both concept and sensor drifts are present as described in De Vito et al., Sens. And Act. B, Vol. 129,2,2008 (citation required) eventually affecting sensors concentration estimation capabilities. Missing values are tagged with -200 value. This dataset can be used exclusively for research purposes. Commercial purposes are fully excluded.
0 Date (DD/MM/YYYY) 1 Time (HH.MM.SS) 2 True hourly averaged concentration CO in mg/m^3 (reference analyzer) 3 PT08.S1 (tin oxide) hourly averaged sensor response (nominally CO targeted) 4 True hourly averaged overall Non Metanic HydroCarbons concentration in microg/m^3 (reference analyzer) 5 True hourly averaged Benzene concentration in microg/m^3 (reference analyzer) 6 PT08.S2 (titania) hourly averaged sensor response (nominally NMHC targeted) 7 True hourly averaged NOx concentration in ppb (reference analyzer) 8 PT08.S3 (tungsten oxide) hourly averaged sensor response (nominally NOx targeted) 9 True hourly averaged NO2 concentration in microg/m^3 (reference analyzer) 10 PT08.S4 (tungsten oxide) hourly averaged sensor response (nominally NO2 targeted) 11 PT08.S5 (indium oxide) hourly averaged sensor response (nominally O3 targeted) 12 Temperature in °C 13 Relative Humidity (%) 14 AH Absolute Humidity

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (254 kB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/fedesoriano/air-quality-data-set

📊 Additional information:
==================================
File count not found
Views: 191,000
Downloads: 32,700

📚 RELATED NOTEBOOKS:
==================================
1. How to approach a dataset (EDA)- Learn With Me | Upvotes: 66
URL: https://www.kaggle.com/code/prakharjadaun/how-to-approach-a-dataset-eda-learn-with-me

2. Air_Q_Dataset_Exploratory_Analysis | Upvotes: 58
URL: https://www.kaggle.com/code/xande42/air-q-dataset-exploratory-analysis

3. air quality dataset | Upvotes: 49
URL: https://www.kaggle.com/datasets/tawfikelmetwally/air-quality-dataset

4. EDA_LAB01_ANN_Example | Upvotes: 32
URL: https://www.kaggle.com/code/shahidzikria/eda-lab01-ann-example

5. UCI ML Air Quality Dataset | Upvotes: 17
URL: https://www.kaggle.com/datasets/nishantbhadauria/datasetucimlairquality

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: World Strat
Basic Description: 10,000km² high-resolution+low-res satellite imagery covering the 🌎🌍🌏

📖 FULL DATASET DESCRIPTION:
==================================
This Kaggle upload holds only the "core" subset of the data due to the upload size limitations.
Nearly 10,000 km² of free high-resolution and matched low-resolution satellite imagery of unique locations which ensure stratified representation of all types of land-use across the world: from agriculture to ice caps, from forests to multiple urbanization densities.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (53 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/jucor1/worldstrat

📊 Additional information:
==================================
Total files: 217,000
Views: 9,819
Downloads: 3,343

📚 RELATED NOTEBOOKS:
==================================
1. Dataset exploration | Upvotes: 44
URL: https://www.kaggle.com/code/ivanorsolic/dataset-exploration

2. Gaofen-2 satellite images - Five Billion Pixels | Upvotes: 9
URL: https://www.kaggle.com/datasets/aletbm/gaofen-satellite-images-five-billion-pixels

3. TheMiniFranceSuite | Upvotes: 9
URL: https://www.kaggle.com/datasets/javidtheimmortal/minifrance

4. WorldStrat_HR | Upvotes: 5
URL: https://www.kaggle.com/code/hseyinacemli/worldstrat-hr

5. Landshapes-4041 | Upvotes: 3
URL: https://www.kaggle.com/datasets/ueberf/sentinel-5k-truecolor

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⭐️ By: https://t.me/datasets1

Dataset Name: Syrian-car-plates Dataset
Basic Description: Description not found

📖 FULL DATASET DESCRIPTION:
==================================
This dataset contains 335 real-world images of Syrian car license plates collected from public sources and streets. It is intended for use in building and training Automatic License Plate Recognition (ALPR) or OCR systems, especially for Arabic-script plates.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (49 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/esraaalsaeede/syrian-car-plates-dataset

📊 Additional information:
==================================
File count not found
Views: 59
Downloads: 6

📚 RELATED NOTEBOOKS:
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1. EGYPlate | Upvotes: 6
URL: https://www.kaggle.com/datasets/mohamedashrafkhalifa/car-plates-numbers

2. Car License Plate Detection Dataset | Upvotes: 3
URL: https://www.kaggle.com/datasets/unidpro/license-plate-detection-dataset

3. Germany License Plate Dataset - 177 827 Images | Upvotes: 2
URL: https://www.kaggle.com/datasets/unidpro/germany-license-plate-dataset

4. Images of Nepali License Plate | Upvotes: 1
URL: https://www.kaggle.com/datasets/kshitizgajurel042/images-of-nepali-license-plate

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⭐️ By: https://t.me/datasets1

Dataset Name: Fashion Product Images and Text Dataset
Basic Description: Preprocessed Dataset for Efficient Multimodal Model Training

📖 FULL DATASET DESCRIPTION:
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This dataset is a curated collection of fashion product images paired with their titles and descriptions, designed for training and fine-tuning multimodal AI models. Originally derived from Param Aggraval's "Fashion Product Images Dataset," it has undergone extensive preprocessing to improve usability and efficiency.
Preprocessing steps include:
These optimizations have reduced the dataset size by 73%, making it lighter and faster to use without compromising data quality. This refined dataset is ideal for research and applications in multimodal AI, including tasks like product recommendation, image-text matching, and domain-specific fine-tuning.

📥 DATASET DOWNLOAD INFORMATION
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🔴 Dataset Size: Download dataset as zip (3 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/nirmalsankalana/fashion-product-text-images-dataset

📊 Additional information:
==================================
Total files: 44,400
Views: 2,682
Downloads: 557

📚 RELATED NOTEBOOKS:
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1. Fashion Product Images Dataset | Upvotes: 753
URL: https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-dataset

2. Nordstrom & Myntra Clothes Image Data - GarmentIQ | Upvotes: 23
URL: https://www.kaggle.com/datasets/lygitdata/garmentiq-classification-set-nordstrom-and-myntra

3. Fashion products images dataset from farfetch | Upvotes: 20
URL: https://www.kaggle.com/datasets/crawlfeeds/images-extracted-from-fashion-website

4. numpy Weights for fashion product images dataset | Upvotes: 3
URL: https://www.kaggle.com/datasets/kalashj16/numpy-weights-for-fashion-product-images-dataset

5. Automated Refund Item Classification System | Upvotes: 2
URL: https://www.kaggle.com/code/zukhrakhongulomova/automated-refund-item-classification-system

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⭐️ By: https://t.me/datasets1

Dataset Name: 🧬 Multi Cancer Dataset
Basic Description: 🧬 MultiCancer Dataset

📖 FULL DATASET DESCRIPTION:
==================================
MultiCancerNet is a diverse and carefully curated image dataset designed for multi-class cancer classification and general pathology research. It consists of high-quality images gathered from various trusted sources, encompassing a wide range of cancer types, precancerous conditions, and healthy tissue samples across different organs and systems.
The dataset follows a standard PyTorch-style directory split, with clearly separated train/ and val/ folders for each class.
Example directory structure (showing class names):

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (14 GB)

🔰 Direct dataset download link:
URL not found

📊 Additional information:
==================================
Total files: 199,000
Views: 494
Downloads: 34

📚 RELATED NOTEBOOKS:
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1. Cancer Instance Segmentation and Classification 1 | Upvotes: 45
URL: https://www.kaggle.com/datasets/andrewmvd/cancer-inst-segmentation-and-classification

2. Cancer Instance Segmentation and Classification 2 | Upvotes: 16
URL: https://www.kaggle.com/datasets/andrewmvd/cancer-instance-segmentation-and-classification-2

3. Skin Cancer Classification | Upvotes: 4
URL: https://www.kaggle.com/datasets/murtozalikhon/skin-cancer-classification

4. notebook421cb41f67 | Upvotes: 1
URL: https://www.kaggle.com/code/dipeshlohchab/notebook421cb41f67

5. Cancer Detection dataset | Upvotes: 0
URL: https://www.kaggle.com/datasets/mani11111111111/cancer-detection-dataset

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⭐️ By: https://t.me/datasets1

Dataset Name: Cervical Cancer Behavior Risk Data
Basic Description: Cancer classification

📖 FULL DATASET DESCRIPTION:
==================================
Cancer is a disease in which cells in the body grow out of control. Cancer is always named for the part of the body where it starts, even if it spreads to other body parts later. When cancer starts in the cervix, it is called cervical cancer. Cervical cancer is cancer that starts in the cells of the cervix. The cervix is the lower, narrow end of the uterus (womb). The cervix connects the uterus to the vagina (birth canal). Cervical cancer usually develops slowly over time. Before cancer appears in the cervix, the cells of the cervix go through changes known as dysplasia, in which abnormal cells begin to appear in the cervical tissue. Over time, if not destroyed or removed, the abnormal cells may become cancer cells and start to grow and spread more deeply into the cervix and to surrounding areas.Anyone with a cervix is at risk for cervical cancer. It occurs most often in people over age 30. Long-lasting infection with certain types of human papillomavirus (HPV) is the main cause of cervical cancer. HPV is a common virus that is passed from one person to another during sex. At least half of sexually active people will have HPV at some point in their lives, but few women will get cervical cancer.
Screening tests and the HPV vaccine can help prevent cervical cancer. When cervical cancer is found early, it is highly treatable and associated with long survival and good quality of life.
Task:- This dataset consists 18 attributes to classify the target label(ca_cervix (this is class attribute, 1=has cervical cancer, 0=no cervical cancer). This is a classification task.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (1 kB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/senapatirajesh/cervical-cancer

📊 Additional information:
==================================
File count not found
Views: 3,847
Downloads: 567

📚 RELATED NOTEBOOKS:
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1. Cervical cancer prediction | Upvotes: 1
URL: https://www.kaggle.com/code/senapatirajesh/cervical-cancer-prediction

2. Colorectal Cancer Insights: Diagnosis & Trends | Upvotes: 1
URL: https://www.kaggle.com/datasets/danishbaariq/colorectal-cancer-insights-diagnosis-and-trends

3. Cervical Cancer dataset | Upvotes: 0
URL: https://www.kaggle.com/datasets/sambanankhumhango/cervical-cancer-dataset

4. cervical cancer risk factors | Upvotes: 0
URL: https://www.kaggle.com/datasets/mohammadhassanparvej/cervical-cancer-risk-factors

5. Cervical Cancer-dataset | Upvotes: 0
URL: https://www.kaggle.com/datasets/kevinnnm/cervical-cancer-dataset

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⭐️ By: https://t.me/datasets1

Dataset Name: Keras Pretrained models
Basic Description: This dataset helps to use pretrained keras models in Kernels.

📖 FULL DATASET DESCRIPTION:
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Kaggle has more and more computer vision challenges. Although Kernel resources were increased recently we still can not train useful CNNs without GPU. The other main problem is that Kernels can't use network connection to download pretrained keras model weights. This dataset helps you to apply your favorite pretrained model in the Kaggle Kernel environment.
Happy data exploration and transfer learning!
Model (Top-1 Accuracy | Top -5 Accuracy)
For more information see https://keras.io/applications/

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (989 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/gaborfodor/keras-pretrained-models

📊 Additional information:
==================================
File count not found
Views: 112,000
Downloads: 29,000

📚 RELATED NOTEBOOKS:
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1. Brain Tumor Detection v1.0 || CNN, VGG-16 | Upvotes: 3,954
URL: https://www.kaggle.com/code/ruslankl/brain-tumor-detection-v1-0-cnn-vgg-16

2. Dog Breed - Pretrained keras models(LB 0.3) | Upvotes: 1,516
URL: https://www.kaggle.com/code/gaborfodor/dog-breed-pretrained-keras-models-lb-0-3

3. Brain Tumor MRI Classification | VGG16 | Upvotes: 1,387
URL: https://www.kaggle.com/code/loaiabdalslam/brain-tumor-mri-classification-vgg16

4. TF Keras pretrained model weights | Upvotes: 22
URL: https://www.kaggle.com/datasets/antoreepjana/tf-keras-pretrained-model-weights

5. segmentation-models 1.0.1 .whl files for TF+Keras | Upvotes: 4
URL: https://www.kaggle.com/datasets/saketpradhan/packages

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⭐️ By: https://t.me/datasets1