Here are a few use cases for this project:

1. Brand Monitoring: Companies can leverage this model in social media platforms to monitor their brand's reach, including analyzing advertisements effectiveness, spotting unauthorized usage of their branding materials, or tracking competitor's logo exposure.

2. Counterfeit Detection: The model could be integrated into e-commerce platforms to identify counterfeit products by detecting misrepresented logos, helping to maintain brand integrity and consumer trust.

3. Customer Behavior Analysis: Retail businesses might use the model in CCTV footage to understand customer behavior, observing which brand logos frequently attract customers, optimizing product placement, and designing more targeted marketing strategies.

4. Event Sponsorship Measurement: Sponsors of sports or entertainment events can employ this model to evaluate their brand exposure during those events by counting the number of times their logo appears in broadcast footage or photographs.

5. Automated Content Categorization: Media companies could use the model to categorize content based on the detected logos, allowing a faster search and sorting process in their databases.

Agentic AI Applications in Vector Database Market Report is Segmented by Deployment Mode (Cloud-Managed, Self-Hosted, and More), Vector Database Type (Purpose-Built Vector Databases, and More), Application (Conversational AI and RAG, Fraud Detection and Anomaly Analytics, and More), End-User Industry (IT and Telecom, BFSI, and More), and Geography (North America, and More). The Market Forecasts are Provided in Terms of Value (USD).

Dataset of the type entry from the database PROSITE profiles - version 2025_01

Cite the source of the dataset as:

List, Johann-Mattis, Thomas Mayer, Anselm Terhalle, and Matthias Urban (2014). CLICS: Database of Cross-Linguistic Colexifications. Marburg: Forschungszentrum Deutscher Sprachatlas (Version 1.0).

In-Memory Database Market is Segmented by Processing Type (OLTP, OLAP, and HTAP), Deployment Mode (On-Premise, and More), Data Model (SQL, Nosql, and Multi-Model), Organization Size (SMEs, and Large Enterprises), Application (Real-Time Transaction Processing, and More), End-User Industry (BFSI, Telecommunications and IT, and More), and Geography (North America, Europe, Asia-Pacific, South America, and Middle East and Africa).

Managed Database Service Market is Segmented by Service (Data Administration, Backup and Recovery, and More), Deployment Model (Public Cloud, Private Cloud, Hybrid/Multi-cloud), Database Type (Relational SQL, Nosql, and More), Application (CRM, ERP, SCM, and More), Industry Vertical (BFSI, Healthcare, and More), Organisation Size (Large Enterprises, Smes), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

Dataset of the type entry from the database PRINTS - version 42.0

🧠 About Dataset

Overview

The AIToolBuzz — 16,763 AI Tools Dataset is a comprehensive collection of publicly available information on artificial intelligence tools and platforms curated from AIToolBuzz.com.
It compiles detailed metadata about each tool, including name, description, category, founding year, technologies used, website, and operational status.

The dataset serves as a foundation for AI trend analysis, product discovery, market research, and NLP-based categorization projects.
It enables researchers, developers, and analysts to explore the evolution of AI tools, detect emerging sectors, and study keyword trends across industries.

Dataset Composition

• Total Entries: 16,763 AI tools
• Time Period: Data collected in October 2025
• Source: AIToolBuzz.com — a curated directory of AI products and services
• Format: CSV (comma-separated), UTF-8 encoded
• Columns: 13 descriptive fields covering both tool metadata and website status

Use Cases

• 🧩 Market & Trend Analysis — Examine growth and patterns in AI categories, technologies, and geographies.
• 🤖 NLP & ML Projects — Use keywords and descriptions for text clustering or embedding tasks.
• 🏷️ Tool Discovery & Classification — Build AI tool recommenders or taxonomies.
• 📊 Data Visualization — Create dashboards showing trends over time or by region.

Example Entries

Provenance Summary

• Source: AIToolBuzz.com — public web directory.
• Collection Method: Automated web scraping via requests + BeautifulSoup, extracting metadata from each tool’s public page.
• Date Collected: October 2025.
• License: Derived dataset — redistribution permitted with attribution (CC BY 4.0 recommended).
• Collector: Swathik Devadiga.
• Frequency: Planned quarterly updates.

Citation

If you use this dataset, please cite as: AIToolBuzz — 16,763 AI Tools (Complete Directory with Metadata). Kaggle. https://aitoolbuzz.com

License

License: CC BY 4.0 — Creative Commons Attribution 4.0 International

You are free to share and adapt the data for research or analysis with proper attribution to AIToolBuzz.com as the original source.

Dataset

This dataset was created by Amir Sanjani

Released under Database: Open Database, Contents: Database Contents

Contents

Data from the Met Office's Cyclone Database, consisting of flat files from the database covering 2000-2005 with associated charts. The database holds lists of cyclones, their types and structural information about each cyclone and associated features as derived from analysis of the UK Met Office Unified Model.

Dataset

This dataset was created by Jacek Pardyak

Released under Database: Open Database, Contents: Database Contents

Contents

MobiDB is a database of protein disorder and mobility annotations. MobiDB was designed to offer a centralized resource for annotations of intrinsic protein disorder and its function. The database covers different disorder aspects such as disordered regions lacking a fixed three-dimensional structure, linear interacting peptides and dynamic structures.

Dataset of the type entry from the database SFLD - version 4

The Cloud Database and DBaaS Market Report Segments the Industry Into by Component (Solution, and Services), Database Type (Relational (RDBMS), and NoSQL), Deployment (Public, Private, and Hybrid), Enterprise Size (SMEs, and Large Enterprises), End-User (BFSI, IT and Telecom, Retail, Retail and E-Commerce, Healthcare and Life-Sciences, Government and Public Sector, Manufacturing, and More), and Geography.

The Puerto Rico Long-Term Coral Reef Monitoring Program (PRCRMP) database compilation includes raw biological data (by transect) from reef locations around the Puerto Rican archipelago. Substrate cover by sessile-benthic categories and fish, and motile megabenthic invertebrate taxonomic composition and densities have been characterized in these stations, with variable sampling event frequencies between 1999 to 2021. At present, 42 permanent stations are surveyed biannually (21 per year). For the benthic characterization, a set of five 10-meter-long permanent transects are surveyed at each station. Sessile-benthic reef communities are characterized by the continuous intercept chain-link method, following the Caribbean Coastal Marine Productivity (CARICOMP) (1994) protocol. Demersal diurnal non-cryptic reef fish populations and motile megabenthic invertebrates are surveyed by sets of five 10 x 3 meters wide (30 m2) belt-transects centered along the reference line of transects used for sessile-benthic characterizations at each reef station. From 2004-2013, a diver completed an Active Search Census (ASEC) survey for 30 minutes annotating sizes and abundances of fish and macroinvertebrate species of interest. From 2015, the ASEC survey methodology was replaced by 20 x 3 meters (60 m2) band transects to identify commercially and ecologically important fish and megabenthic invertebrate species. Upon completion of the 10 meters belt-transect survey, the diver swims along the same depth and physiographic reef zone for an extra 10 meters to complete the 60 m2 transect. For each fish individual within the ASEC survey (2004-2013) and 60m2 band transects (2015-2021), a visual fork length (FL) estimate in centimeters is recorded. Fish length estimations are provided by the median of 5cm interval size classes. The cephalothorax length (measurement from the tip of the rostrum to end of the thorax), also known as carapace length (CL) in centimeters is used to report the size of lobsters (Panulirus spp., Scyllarides spp.) within belt-transects. Queen conch (Lobatus gigas) length is reported as the total (diagonal) shell length in centimeters. With the length-weight relationship information available in FishBase.org, biomass estimates are calculated for a subset of commercially and ecologically important fish species. The PRCRMP database was made possible with support from the National Oceanic and Atmospheric Administrations Coral Reef Conservation Program.

The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Database (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from VIIRS VNP14IMGML active fire products.

This gridded dataset has been derived from the Small Fire Database (SFD) Burned Area pixel product for Sub-Saharan Africa, v2.0 (also available), which covers Sub-Saharan Africa for the year 2019, by summarising its burned area information into a regular grid covering the Earth at 0.05 x 0.05 degrees resolution and at monthly temporal resolution.

Data item of the type family from the database pfam with accession PF00012 and name Hsp70 protein

A manually curated registry of data policies from research funders, journal publishers, societies, and other organisations. These are linked to the databases and standards that they recommend for use

The Database Market is Segmented by Database Type (Relational (RDBMS), Nosql, and More), Deployment (Cloud, On-Premsies), Service Model (Database-As-A-Service (DBaaS), License and Maintenance Software), Enterprise (SMEs, Large Enterprises), Workload Type (Transactional (OLTP), Analytical (OLAP), and More), End-User Vertical (BFSI, Retail, and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

The Database Activity Monitoring (DAM) Market Report is Segmented by Component (Software [Agent-Based Monitoring, Agentless Monitoring], Services [Professional Services, Managed Services]), Deployment Mode (On-Premises, Cloud-Based, Hybrid), Organization Size (Small and Medium Enterprises, Large Enterprises), Database Type, End-User Industry, and Geography. The Market Forecasts are Provided in Terms of Value (USD).