Best 24 Datasets Tools in 2025

Collaboration on models
Collaboration on datasets
Collaboration on applications

The platform where the machine learning community collaborates on models, datasets, and applications.

AI Voice Conversion
AI Voice Cloning
Text-To-Speech
Vocal Separator
Official Artist voice library
Royalty-Free Voice Library
Instrument library
Youtube Covers & Datasets

To use Kits AI, simply sign up on our website and log in to your account. You can then access our features such as AI voice conversion, AI voice cloning, text-to-speech, vocal separator, official artist voice library, royalty-free voice library, instrument library, and Youtube covers & datasets. Follow the provided instructions for each feature to start using them.

The core features of Generated Photos include: 1. Diverse Model Photos: The platform provides a database of diverse, copyright-free headshot images generated by AI. 2. Face Generator: Users can create unique faces and full-body humans by customizing parameters. 3. Anonymizer: Users can upload a similar face to the Anonymizer to search for specific faces. 4. Bulk Download: Users can scale up their projects by downloading photos in bulk. 5. Datasets: Ready-made and fully custom datasets are available for training and research. 6. API Integration: Users can integrate the Generated Photos API for seamless usage in their applications.

pro_plan
premium_plan
enterprise_plan Contact for pricing

To use Generated Photos, users can search the gallery of high-quality diverse photos or create unique models in real-time. They can search for specific faces using filters in the Faces database or upload a similar face to the Anonymizer. Users can also create photo-realistic faces or full-body humans with customized parameters using the Face Generator. Additionally, users can scale up their projects through bulk download, datasets, or API integration.

Fast and powerful vector queries
Index creation and search
Filtered search
Complex queries
Data import and export
Integration with your stack

To use MyScale, follow these steps: 1. Sign up for a free trial account. 2. Import your data into MyScale. 3. Write SQL queries to perform vector search and analytics. 4. Use the MyScale API to integrate with your applications. 5. Monitor and optimize performance using the MyScale dashboard.

Large Language Models Data
Identity Verification Dataset
Named Entity Recognition
Speech
Spontaneous Dialogue
Aspect-Based Sentiment Analysis
Live Data
Image and Video Datasets
NLP

Unlock your AI capabilities with the largest selection of ethically collected, diversified off-the-shelf datasets. Select the data that best serves your needs or take advantage of our custom data services and expert support.

Global data labeling platform
Elite workforce in 40+ languages
Integration with modern APIs and tools

To use Surge AI, simply sign in to the website and access the platform. From there, you can create labeling projects, set labeling instructions, and manage the labeling workforce.

Large-scale datasets
Open-source tools
Models for machine learning
Promotion of open public education
Environmentally friendly resource reuse

To use LAION, simply visit their website and explore the projects, team, blog, and notes sections. You can access datasets, tools, and models provided by LAION for your machine learning research and projects.

Holo AI includes features such as exploring different fandoms, genres, and authors through metadata UI, affordable premium plans starting at $4.99/month, custom AI training capabilities, Text to Speech with 6 different AI voices, and end-to-end encryption for user data.

To use Holo AI, simply start writing on the platform without any payment or signup required. Users can organize their thoughts and create compositions with just a few clicks. The platform offers datasets for various types of work, allowing writers to tune the AI to evoke specific fandoms, genres, and authors. Holo AI also provides prompt tuning capabilities for training the AI on custom data. Users can configure the Text to Speech feature to have AI-generated content read out loud.

The core features of Entry Point AI include: 1. Intuitive Interface: Simplifies the training process with a user-friendly interface that eliminates the need for coding. 2. Template Fields: Allows users to define field types for easy dataset organization and updates. 3. Dataset Tools: Enables filtering, editing, and management of datasets, as well as AI Data Synthesis for generating synthetic examples. 4. Collaboration: Facilitates seamless collaboration with teammates by providing project management tools. 5. Evaluation: Provides built-in evaluation tools to assess the performance of fine-tuned models.

To use Entry Point AI, follow these steps: 1. Identify the task you want your language model to perform. 2. Import examples of the desired task into Entry Point AI using a CSV file. 3. Evaluate the performance of the fine-tuned models using the built-in evaluation tools. 4. Collaborate with teammates to manage the training process and track model performance. 5. Utilize dataset tools to filter, edit, and manage your dataset. 6. Generate synthetic examples using the AI Data Synthesis feature. 7. Export the fine-tuned models or use them directly in your applications.

Enterprise-Grade Infrastructure
Apache Arrow Access
Enriched Data Included
Combine SQL with code
Ecosystem Compatible
Datasets & Views
SQL Firecache
Serverless Functions
Petabyte-Scale Data
Private ZK/ML Cluster

With Spice.ai, developers can combine web3 data with code and machine learning to build data and AI-driven applications. The platform provides access to high-quality, enriched datasets and offers developer-friendly SDKs for easy integration. Users can query web3 data using SQL and perform filtering and aggregations. Spice.ai also supports serverless functions and offers a petabyte-scale data platform for real-time, time-series data.