Best diverse language datasets tools in 2025

GPTKit

Detects whether text is written by a person or AI.

Kaldi Speech-to-Text

Advanced framework for creating customized speech recognition models.

Rubra

Advanced language model with tool-calling capabilities for complex tasks.

Sinkove

AI-generated imaging datasets for disease research and treatment development.

Teachable Machine

Train computers to recognize images, sounds, and poses effortlessly.

Entry Point

Streamline fine-tuning for language models with user-friendly features.

Free + from $49/m
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Alegion

Data annotation solution for AI projects with global reach.

Viso.ai

Comprehensive computer vision management system for real-time insights.

Microsoft Azure Custom Vision

Custom image classification for tailored visual recognition.

Amazon Web Services AI

Cloud-based service for scalable machine learning model development.

ML

Framework for integrating machine learning into applications.

SambaNova Systems

Powerful generative AI for advanced language model development.

RetinaNet

Advanced image recognition for identifying objects in photos.

Accessibility Desk

Generate accessibility insights for inclusive digital content.

Intel® AI Academy

Comprehensive AI development support for efficient project execution.

PIXTA AI

A platform for licensing diverse datasets for AI projects.

Liner.ai

Create machine learning models effortlessly without coding.

Dreamlook

Image generation made easy for creators of all levels.

H2O AutoML

Automated machine learning for faster and easier model training.

AI Checker Tool

Verify if text is written by humans or generated by AI.

Mistral.rs

Run large language models quickly for effective results.

Sagemaker Studio

Streamlined machine learning for actionable business insights.

Tensorflow Object Detection API

Automated solution for precise object identification in images and videos.

WisBot

Automated assistant for data analysis and machine learning tasks.

Sagify

Effortlessly manage machine learning tasks and model deployment.