HyperLabel computer vision labeling

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

Accelerate the development of your AI solutions with our complete labeling toolset built for speed and ease for dataset creation. Available with Sense for integrated model training or as a standalone application, HyperLabel helps machine learning teams iterate quickly and easily.

Try the Developer Version of HyperLabel for Free

The free edition of HyperLabel supports custom label schemas, data source connections, unlimited labels, and exporting to the most popular formats for computer vision.

 

Experience HyperLabel For High-Performance Computer Vision Data Annotation

HyperLabel makes labeling video and images for your computer vision projects fast and easy with a robust set of features and simple step-by-step interface. Download today and start labeling in minutes.

HyperLabel Features

A full set of features to equip all your computer vision labeling projects, HyperLabel 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 Auto-Labeling, Smart Polygon Selection & Label QA

Team Collaboration

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

HyperLabel 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.

Supported Label Export Formats

HyperLabel supports the most common label formats for computer vision. Choose to export as COCO, Pascal VOC, YOLO, Create ML or HyperLabels 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.

Data sources can contain images and video files. Video files will automatically convert to frames for easy labeling.

Supported image formats: JPG, PNG, GIF, BMP

Supported video formats: MPG, MP4, WMV

Connect S3 Storage

Amazon S3

Connect an Amazon S3 bucket

Connect GCP storage

Google Cloud Storage

Connect a GCP bucket

Connect Local Storage

Local Storage

Label files stored locally

Connect CSV Storage

Local CSV

Use a local CSV file 

AI Assisted Labeling (Coming Soon)

Label smarter with HyperLabel’s AI assisted labeling features.

Automatically label common objects such as cars and people, and automatic polygon selection saves massive amount of labeling time for image segmentation.

Check label quality and receive suggestions using SmartQA.

 

Auto Label Images

Auto Labeling

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

Auto Polygon Selection

Save time labeling instance segmentation by drawing a simple rectangle that resolves to an auto-polygon selection

Smart QA

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

Team Collaboration

HyperLabel makes working as a team easy.

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

HyperLabel-Sense Integration

HyperLabel is fully integrated with the Sixgill Sense platform to streamline and accelerate the data annotation and model training stages in the ML lifecycle.

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

Integrate with HyperLabel to sync datasets for easy image 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

Try the Developer Version of HyperLabel for Free

The free edition of HyperLabel supports custom label schemas, data source connections, unlimited labels, and exporting to the most popular formats for computer vision.

 

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 and HyperLabel 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.