Deep Learning, Annotations, Training Data.
Project description
Your AI Data Annotation Platform
Quality Training Data for Enterprise - Data Labeling Software for Machine Learning
This Repo is the SDK.
You can install the Diffgram Platform on your Kubernetes cluster or use Diffgram Online.
- Security and Privacy
- Data Annotation Software
- Image and Video Segmentation Software
- Video Annotation Software
- Pro AI Data by Humans
On Your Kubernetes Cluster
Free Up to 3 Users. Enterprise licenses available see pricing
Try Online Demo
Kubernetes Full Install Guide
Contact Us
Where Diffgram Integrates Into Your System
Compare Diffgram
Diffgram vs Labelbox
Diffgram vs Amazon Sagemaker Groundtruth (AWS)
Diffgram as your Training Data Database
Diffgram is all about Training Data: Data that's ready to be used by AI systems.
It's created by combining raw data with human centered meaning. For example, combining an image with a box identifying an object. The encoded meaning can be relatively simple, for example a single bounding box, or complex, such as a time series video with a graph of attributes.
Motivation
- An increase in complexity in annotations and frequency of data change.
- Organization between data, people and teams on larger scale projects.
Use Cases
- Create, Update, And Maintain Datasets
- Create processes for working with Deep Learning systems
- Compliance and threat actors
- Launch faster
SDK Install
Full Documentation
Quickstart Install SDK
pip install diffgram
On linux
pip3 install diffgram
Credentials Guide Get Credentials from Diffgram.com (or your Private Deploy Link)
Get a client project:
from diffgram import Project
project = Project(project_string_id = "replace_with_project_string",
client_id = "replace_with_client_id",
client_secret = "replace_with_client_secret" )
Tasks Introduction
Import Introduction
Updating Existing Instances
Pre-Label Example Video
Compatibility
Interfaces
Diffgram (Image and Video)
Scale AI
Datasaur
Labelbox
Contact us to request an interface!
Beta
Note the API/SDK is in beta and is undergoing rapid improvement. There may be breaking changes.
Please see the API docs for the latest canonical reference
and be sure to upgrade to latest ie: pip install diffgram --upgrade. We will attempt to keep the SDK up to date with the API.
Help articles for Diffgram.com See below for some examples.
Requires Python >=3.5
The default install through pip will install dependencies
for local prediction (tensorflow opencv) as listed in requirements.txt.
The only requirement needed for majority of functions is requests.
If you are looking for a minimal size install and already have requests use
the --no-dependencies flag ie pip install diffgram --no-dependencies
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