Dataset of 56040 tweets collected in wake of the Roe vs. Wade cancellation sentence. The tweets are collected conteining either the #prochoice or the #prolife hashtag, reflecting the two opposite poles of the discussion on the argument. The tweets with #prochoice have target variable as 0, and the tweet with the #prolife have the target variable as 1.

DISCLAIMER: this dataset is not intended to be used to take a position on the discussion on the right to abortion. This dataset takes its cue from this discussion to create a corpus of tweets that can be tagged a priori. In this case, we are taking advantage of the fact that there are two hashtags that reflect the two opposite poles of opinions on the subject: prochoice and prolife respectively (indicated in this way only for alphabetical order, as well as labeled as 0 and 1 purely in order alphabetical). Rather, considerations can be made about the discussion itself, the differences in language and the methods of analyzing it.

Age Difference Images Dataset for Facial Recognition

Dataset comprises 10,557 images of 2,627 unique individuals captured at different stages of their lives, showcasing the same people across various ages. It is designed for research in age estimation, facial aging analysis, and age progression modeling, providing a robust foundation for machine learning models and statistical analysis.

By leveraging this dataset, researchers and developers can explore age differences, gender variations, and age distributions across different age groups, enabling advancements in face recognition, biometrics, and human aging studies. - Get the data

Each entry highlights significant differences in facial features over time, allowing researchers to study age progression patterns, aging gaps between genders, and variations across different life stages. The dataset’s high-quality images and structured metadata support precise age estimation models, cross-age face verification, and synthetic aging simulations.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

For researchers seeking a reliable, large-scale dataset on human aging, this collection offers diverse, well-annotated data with real-world applicability.

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Dataset of face images with different angles and head positions

Dataset contains 23,110 individuals, each contributing 28 images featuring various angles and head positions, diverse backgrounds, and attributes, along with 1 ID photo. In total, the dataset comprises over 670,000 images in formats such as JPG and PNG. It is designed to advance face recognition and facial recognition research, focusing on person re-identification and recognition systems.

By utilizing this dataset, researchers can explore various recognition applications, including face verification, face identification. - Get the data

Metadata for the dataset

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fed374cc92b935b209749cb7b32fd41da%2FFrame%201%20(10).png?generation=1743160276352983&alt=media" alt=""> The accuracy of labels of face pose is more than 97%, ensuring reliable data for training and testing recognition algorithms.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Dataset includes high-quality images that capture human faces in different poses and expressions, allowing for comprehensive analysis in recognition tasks. It is particularly valuable for developing and evaluating deep learning models and computer vision techniques.

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Palm dataset - 500,000 images

Dataset includes 500,000 annotated images collected from 50,000 people, with each set containing six palm photos, two printed-hand images, and two replay videos.. Designed for hand detection, palm recognition, and gesture analysis, this palm dataset provides diverse training data with metadata on age, gender, and ethnicity for accurate computer vision model training.

By leveraging this dataset, researchers and developers can advance computer vision models for highly accurate hand detection, palm recognition, and gesture analysis. - Get the data

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Dataset includes both right hands and left hands in various configurations, supporting advanced research in hand tracking and poses estimation.

Example of the data

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F27063537%2F206f71e01314d53317e6001740501579%2F2.jpg?generation=1762018631075061&alt=media" alt="">

Researchers can utilize this dataset to explore hand detection technology and recognition algorithms that aim to improve gesture analysis and hand tracking capabilities across various applications including security systems, human-computer interaction, and biometric authentication.

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There are four type of participants in Indian trading markets: 1. Foreign Institutions(FII) 2. Domestic Institutions(DII) 3. Clients(individual) 4. PRO(individual with trading as business)

This dataset contains daily activity of all these participants for: 1. Index Futures long and short for all participants 2. Index Calls options long and short for all participants 3. Index Put options long and short for all participants 4. Stock Futures long and short for all participants 5. Stock Calls options long and short for all participants 6. Stock Put options long and short for all participants

Body Measurements Image Dataset for AI Training and E-Commerce

Dataset consists of 13,000+ standardized photos of **1,000+ **people, offering a robust resource for body measurements estimation, human body analysis, and personalized sizing recommendations in e-commerce. Each subject is captured in front and side poses with paired 17+ anthropometric measurements, enabling precise shape estimation, weight prediction, and body characteristics detection.

By leveraging this dataset, researchers and developers can enhance machine learning algorithms for accurate sizing, image processing, and predicting body metrics. - Get the data

Example of the data

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F27063537%2Fa8a144b4305dbd414ab2b91f41dbb9c9%2FFrame%202.png?generation=1751368811094743&alt=media" alt=""> 13 photos of people with a measuring tape, proving provided measurements.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Dataset addresses critical challenges in e-commerce personalization and fitness tech by enabling accurate body shape estimation and size prediction.

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