Features

Primary Features

• Core Platform
• AI Datastore Query Syntax Reference
• Annotate Many Media types: Image, Video, 3D, Text, Geo, Audio, Multi-Modal and more Annotation Summary
• Development System
• User Friendly
• Deep Data Lake Feature Store (Data Catalog)
• Unlimited Annotations and Automations
• Unlimited API & Python SDK/CLI Access
• Auto-Annotate (ML Automation)
• Automated task distribution
• Collaboration across teams
• Performance dashboards
• Robust QA & collaboration capabilities
• Model-assisted labeling (Pre-Label)
• All special tools (Video segmentation, medical, tiled)
• All Attributes and Geometric Templates
• Project Management & Data Curation
• Workflows
• Data Explorer (model diagnostics)
• Role Based Access Control (RBAC)
• Long 4k Videos & Ultra-High Resolution
• DICOM Native (Coming Soon)
• All Cloud Integrations (AWS, GCP, Azure)
• Issues & Comments
• Identity (OIDC, SAML, SSO, LDAP, more)
• Compliance (SOC 2, GDPR, NIST, more)
• Security
• Support: Quality Docs, Global Slack Community

More Features

• Streamlined Annotation UI suitable both from "First Time" Subject Matter Experts, and powerful options for Professional Full Time Annotators
• Many User Labeling - Designed for many users from Day 1.
• Scale to Mega Projects with sophisticated organizational concepts.
• Ingest prediction data with less scripts.
• Import Wizard saves you hours having to map your data (pre-labels, QA, debug etc.).
• All-Cloud Integrated File Browser
• Scalable pipeline for massive ingestion - we have tested to 600+ hardware nodes
• Integrated pipeline hooks - newly added data auto creates tasks and more
• Collaboration across teams between machine learning, product, ops, managers, and more.
• Store virtually any scale of dataset and instantly access slices of the data to avoid having to download/unzip/load.
• Fast access to datasets from multiple machines. Have multiple Data Scientists working on the same data.
• Integrates with your tools and 3rd party workforces.
  It's a database for your training data, both metadata and access of raw BLOB data (over top of your storage choice).
• Quality Assurance Features Summary
• Webhooks with Actions
• Continually upgrade your data, including easily adding more depth
  to existing partially annotated sets.
• Skip downloading and unzipping massive datasets. Explore data instantly through the browser.
  Try it now (click Dataset Explorer)
• Automatic Dataset Versioning and user definable datasets.
• Collaborate share and comment on specific instances with a Diffgram Permalink.
• Compare model results visually
• Curate data and send for labeling with one click
• Uncover bad data and edge cases. Use your models to debug the human. Visually see errors.
  Stream Training Data is Now Available.
• Colab Notebook Example || Docs Pytorch Tensorflow
• Run models instantly with Javascript
• Make HTTP requests to your model based on user events
• Runs on your local system or cloud. Less lag, more secure, more control.
• Enforce PII & RBAC automatically across life-cycle of
  training data from ingest to dataset to model predictions and back again
• Task features can be used as modules within Workflow
• Automatic Per Task Review Routing, with configurable review chance
• Reporting
• Advanced queue customization
• Multiple workspaces
• Enterprise dashboards
• Audit & Security Reports

Diffgram.com Playground Limits

The free playground version that's hosted on diffgram.com is meant to try it out and has these limits:

1. Up to 2 users.
2. Up to 100 files per dataset.
3. Video up to 100 frames.

Support

	DLv2	MSA
Who is responsible?	You	Joint
How can I communicate with the diffgram team?	General community channels.	Email, Dedicated slack channel, Video 2-3 business hours or next business day Video calls available

Ticket expectation
For Community support, we see you as collaborator, and we may ask for a complete reproduceable example, specific technical error messages, and may even ask you to propose your own solution.