Curated, high-quality datasets for machine learning and AI research
Discover our collection of high-quality, annotated datasets for AI training
1.2M labeled images across 1000 categories
5.7GB of annotated text data for NLP tasks
250,000 anonymized DICOM scans with annotations
10,000 hours of annotated driving footage
20 years of global market data with sentiment
50,000 hours of multilingual speech data
Share your datasets with the AI research community. Our platform ensures proper attribution, version control, and secure storage for your valuable data.
Drag and drop your files or select from your device. We support all major data formats with automatic validation.
Encrypted at rest and in transit with strict access controls. Choose between public or private sharing.
Our automated systems check for consistency, while human reviewers verify metadata and annotations.
Automatic DOI generation and standardized citation formats ensure you get proper credit.
Designed for researchers, by researchers
Track changes across dataset versions with full diff visualization. Roll back to previous versions or branch for experimental modifications.
Interactive tools to explore distributions, correlations, and anomalies in your data before download. Built-in Jupyter notebook integration.
Find exactly what you need with multidimensional filtering by data type, license, annotation quality, collection date, and more.
Connect with thousands of AI researchers, dataset creators, and machine learning engineers. Share insights, collaborate on projects, and accelerate your research.
Integrate our datasets directly into your workflows with our comprehensive REST API and Python client library.
from datanexus import Client # Initialize client with your API key client = Client(api_key="your_api_key_here") # Search for image datasets with >1000 samples datasets = client.search( type="image", min_samples=1000, license="cc-by" ) # Stream dataset directly to your model for batch in datasets[0].stream(batch_size=32): model.train(batch)