HyperLabel is now Sense Data Annotation!

HyperLabel data annotation tools are now online giving you even faster, easier access to new and exciting features

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The Fastest Data Labeling For High-Quality Computer Vision At Scale

Sense Data Annotation accelerates your time-to-training and removes AI project bottlenecks.

Experience the power of Sense. Our comprehensive labeling features for fast, easy, high-quality dataset creation are available online for you to try for free.

Sign up for your 30-day free trial or request a demo today!

Sense Data Annotation Now Includes Smart Polygon Object Selection.
Try It For Free.

Added to the full suite of labeling tools, a new feature called SmartPoly takes your labeling to the next level for convenience, speed and accuracy. When you draw a bounding box, SmartPoly automatically selects objects as a polygon with pinpoint accuracy.

Experience High-Performance Computer Vision With The Power Of Sense

Sense Data Annotation optimizes the success of your machine learning models with the fastest, easiest way to label video and image data for high-quality training dataset creation. The Sense platform offers one-touch labeling integration for continuous machine learning at the edge for simplified management of all your AI solutions.

Data Annotation Features

A full set of features to equip all your computer vision labeling projects. Sense Data Annotation is designed to maximize productivity and scale.

Custom Label Schemas

Create label schema types for object detection, image segmentation, pose estimation, facial key points, captioning, classification & more

AI Assisted Labeling

Save time and resources by using the built in smart labeling features such as smart polygon selection, auto-labeling & label QA

Team Collaboration

Add team members, sync data across teams, manage roles, provide instructions, add comments & review labeling  progress 

Data Export Formats

All major computer vision label formats are available for export: COCO, YOLO, Pascal VOC & CreateML  

Easy-To-Define Custom Schemas

Sense supports all major definitions used in computer vision labeling. Choose from Rectangles, Polygons, Point, Feature Points, Text, Class, or Multi-Class.

Rectangle, Polygon, and Point labels also support sub-labeling options.

object detection labeling

Rectangles

Draw boxes to detect specific objects within images.

Image Segmentation labeling

Polygons

Segment objects for detection within image frames.

Point

Label anatomical or structural points of interest within images.

Feature point labeling

Feature Points

Use for highly detailed detection such as emotion & body pose.

Text

Leverage for free text production for image captions ideal for accessibility.

Classification labeling

Class

Designed for specific filters & image search.

Multi-Class labeling

Multi-Class

Apply for multi label image classification & attribute identification.

Sub-labels

Add sub-labels into the label definitions for rectangles, polygons, and point labels.

AI Assisted Labeling

Label with automated intelligence using Sense AI assisted labeling features.

Our SmartPoly selection tool uses machine learning to automate polygon selection when you draw a bounding box saving you massive amounts of labeling time for image segmentation. Coming soon, auto labeling and smart QA will enable even more time-saving convenience.

Auto Label Images

SmartLabel

Select objects to recognize, and Sense will use its SmartLabel feature to automatically apply labels

SmartPoly Object Selection

Save time labeling instance segmentation by drawing a simple rectangle that resolves to an object with pinpoint accuracy

SmartQA

Check the project quality by using Sense’s SmartQA feature to audit and correct labels

Team Collaboration

Sense Data Annotation makes labeling as a team easy.

Add new members, sync data sources across teams, manage roles, provide labeling instructions, add comments, review labeling progress and time spent per label. 

Cloud Sync

Sync data sources across teams

Instructions

Add labeling and project details 

Comments

Add comments to applied labels

Review

Track production time and progress

Supported Label Export Formats

Sense Data Annotation supports the most common label formats for computer vision. Choose to export as COCO, Pascal VOC, YOLO, Create ML or Sense’s own JSON format.

COCO

A large-scale object detection, segmentation, and captioning dataset

VOC Pascal Data Support

Pascal VOC

Pattern Analysis, Statistical Modeling and Computational Learning Visual Object Classes

YOLO Dataset Support

YOLO

“You Only Look Once”. A popular real-time object detection algorithm

Create ML Support

Create ML

Apple’s machine learning model creation and training framework

Connect Data Sources

Connect both local storage and remote data sources to projects.

Supported image formats: JPG, PNG, GIF, BMP

connect data sources
Connect S3 Storage

Amazon S3

Connect an Amazon S3 bucket

Connect GCP storage

Google Cloud Storage

Connect a GCP bucket

Connect Local Storage

Local Assets

Upload files for labeling

Connect CSV Storage

Local CSV

Use a CSV file to upload assets 

One End-to-End Platform for Simplified AI Lifecycle Management

From camera-to-concept-to-production, Sixgill Sense streamlines and accelerates all stages of the AI lifecycle with continuous machine learning at the edge.

Device Management

Connect and manage sensor streams & edge computing devices

Data Collection

Create training datasets with version control directly from sensors

Custom Label Schemas for computer vision

Data Annotation

Fully integrated annotation accelerates project through-put with embedded AI-assisted labeling.

Machine Learning

Select existing models  or bring you own & train from a labeled dataset

Deployments

Manage edge and cloud model deployments from a single interface

Sense Data Annotation Now Includes Smart Polygon Object Selection.
Try It For Free.

Added to the full suite of labeling tools, a new feature called SmartPoly takes your labeling to the next level for convenience, speed and accuracy. When you draw a bounding box, SmartPoly automatically selects objects as a polygon with pinpoint accuracy.

Built By Machine Learning Engineers For Everyone

We’re not just a dev team behind an application, we’re users too. We know first-hand the pain points of each step in the machine learning life cycle, so we built Sense from the ground up to eliminate bottlenecks and allow anyone to build machine learning models and benefit from the value of AI.

Connect with our engineers and community to learn how Sense can work for you.

Webinars (coming soon)

Contact Us

AI for ALL

All AI/ML teams within organizations across all industries can benefit from computer vision AI-powered solutions.

COVID-19

Fever & PPE Detection
Occupancy & Distancing Monitoring
Cleaning & Disinfecting Compliance

Learn More

Pharmaceuticals

Drug R&D Acceleration
Clinical Trial Optimization
Medical Imaging

Learn More

Supply Chain

Product/Goods Count & Tracking
Shipment On-Off Loading Monitoring
Product Compromise Detection

Learn More

Oil & Gas

VOC Gas Leak Detection
Tank-Level Monitoring
Site Security Intelligence

Learn More

Agriculture

Livestock Count & Health Monitoring
Crop Disease Detection
Product Grading & QA/QC Packaging

Learn More

Construction

Worker Productivity Optimization
Process/Task Monitoring & Compliance
Worker Count & Tracking By Trade

Learn More

USE CASE

APPLIED MACHINE LEARNING FOR FEVER DETECTION & PPE ENFORCEMENT

Challenge

Across all industries, there’s an urgent need to accurately screen all people coming into a facility, or area, and automate the detection of fever and assure compliance with PPE policies.

Solution

Sense enables organizations to use the power of video to cameras help identify threats in real time. Sixgill-built models allow for non-contact preventative monitoring and screening and real-time alerting and data logging of events. Models include thermographic fever scanning, mask (and other PPE) compliance detection.