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.
Rectangles
Draw boxes to detect specific objects within images.
Polygons
Segment objects for detection within image frames.
Point
Label anatomical or structural points of interest within images.
Feature Points
Use for highly detailed detection such as emotion & body pose.
Text
Leverage for free text production for image captions ideal for accessibility.
Class
Designed for specific filters & image search.
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.
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
Pascal VOC
Pattern Analysis, Statistical Modeling and Computational Learning Visual Object Classes
YOLO
“You Only Look Once”. A popular real-time object detection algorithm
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
Amazon S3
Connect an Amazon S3 bucket
Google Cloud Storage
Connect a GCP bucket
Local Assets
Upload files for labeling
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
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.
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
Construction
Worker Productivity Optimization
Process/Task Monitoring & Compliance
Worker Count & Tracking By Trade
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.