Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Your AI Data Platform
High Quality Training Data for Enterprise
Data Labeling Software for Machine Learning
Your Kubernetes Cluster up to 3 users is free
TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE
Images, Video, and Text
Spatial Tools
Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More
You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video.
Attribute Tools
More Meaning. More freedom through:
Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more!
Complex knowledge can be captured and encoded into your AI.
Streaming Data
Automation
Manual labeling can be up to 10x faster than automated labeling
Description
The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS CloudFormation
Yes
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Kubernetes
Yes
Labelbox
Yes
Microsoft Azure
Yes
Scale GenAI Platform
Yes
TensorFlow
Yes
Integrations
AWS CloudFormation
No
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Kubernetes
No
Labelbox
No
Microsoft Azure
No
Scale GenAI Platform
No
TensorFlow
No
Pricing Details
Free
https://www.diffgram.com/pricing
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Diffgram
Founded
2018
Country
Santa Clara CA
Website
www.diffgram.com
Vendor Details
Company Name
Supervisely
Founded
2017
Country
United States
Website
supervise.ly/
Product Features
Data Labeling
Human-in-the-loop
Yes
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
Yes
Polygon, Rectangle, Line, Point
Yes
SDK
Yes
Supports Audio Files
Yes
Task Management
Yes
Team Collaboration
Yes
Training Data Management
Yes
Product Features
Computer Vision
Blob Detection & Analysis
Yes
Building Tools
Yes
Image Processing
Yes
Multiple Image Type Support
Yes
Reporting / Analytics Integration
Yes
Smart Camera Integration
Yes
Data Labeling
Human-in-the-loop
No
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
Yes
Task Management
Yes
Team Collaboration
Yes
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No