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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Deepen AI provides cutting-edge tools and services for multi-sensor data labeling and calibration, aimed at enhancing the training process for computer vision applications in autonomous vehicles, robotics, and beyond. Their annotation suite addresses numerous critical use cases, which include 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. Powered by artificial intelligence, the platform boasts pre-labeling features that can automatically tag up to 80 commonly used classes, resulting in a productivity boost of seven times. Additionally, it incorporates machine learning-assisted segmentation, enabling users to segment objects effortlessly with minimal clicks, alongside precise object detection and tracking across frames to eliminate redundancy and conserve time. Furthermore, Deepen AI’s calibration suite accommodates all essential sensor types, such as LiDAR, cameras, radar, IMUs, and vehicle sensors. These sophisticated tools facilitate seamless visualization and inspection of the integrity of multi-sensor data, while also allowing for the rapid calculation of intrinsic and extrinsic calibration parameters in mere seconds. By streamlining these processes, Deepen AI empowers developers to focus more on innovation and less on manual data handling.

Description

Introducing the ultimate data annotation tool that offers unparalleled flexibility and ease of installation. Users can create customized user interfaces or opt for ready-made labeling templates tailored to their specific needs. The adaptable layouts and templates seamlessly integrate with your dataset and workflow requirements. It supports various object detection methods in images, including boxes, polygons, circles, and key points, and allows for the segmentation of images into numerous parts. Additionally, machine learning models can be utilized to pre-label data and enhance efficiency throughout the annotation process. Features such as webhooks, a Python SDK, and an API enable users to authenticate, initiate projects, import tasks, and manage model predictions effortlessly. Save valuable time by leveraging predictions to streamline your labeling tasks, thanks to the integration with ML backends. Furthermore, users can connect to cloud object storage solutions like S3 and GCP to label data directly in the cloud. The Data Manager equips you with advanced filtering options to effectively prepare and oversee your dataset. This platform accommodates multiple projects, diverse use cases, and various data types, all in one convenient space. By simply typing in the configuration, you can instantly preview the labeling interface. Live serialization updates at the bottom of the page provide a real-time view of what Label Studio anticipates as input, ensuring a smooth user experience. This tool not only improves annotation accuracy but also fosters collaboration among teams working on similar projects.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ApertureDB No 
Azure Blob Storage No 
Docker No 
Flair No 
Galileo AI No 
Google Cloud Storage No 
Kubernetes No 
Lightly No 
Lightly No 
Modzy No 
Pachyderm No 
PostgreSQL No 
PyTorch No 
Redis No 
Rosepetal AI No 
SQLite No 
Terraform No 
Tesseract No 
ZenML No 
scikit-image No 

Integrations

ApertureDB Yes 
Azure Blob Storage Yes 
Docker Yes 
Flair Yes 
Galileo AI Yes 
Google Cloud Storage Yes 
Kubernetes Yes 
Lightly Yes 
Lightly Yes 
Modzy Yes 
Pachyderm Yes 
PostgreSQL Yes 
PyTorch Yes 
Redis Yes 
Rosepetal AI Yes 
SQLite Yes 
Terraform Yes 
Tesseract Yes 
ZenML Yes 
scikit-image Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
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 No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Deepen

Founded

2017

Country

United States

Website

www.deepen.ai/

Vendor Details

Company Name

Label Studio

Country

United States

Website

labelstud.io

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

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